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Organized by International Journal of Modelling, Identification and Control IEEE Systems, Man, and Cybernetics Society Hanoi University of Science and Technology Tokyo University of Agriculture and Technology International Journal of Advanced Mechatronic Systems PROGRAM AND ABSTRACTS 2020 International Conference on Advanced Mechatronic Systems December 10-13, 2020 Hanoi, Vietnam
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  • Organized by

    International Journal of

    Modelling, Identification and

    Control

    IEEE Systems, Man, and

    Cybernetics Society

    Hanoi University of Science

    and Technology

    Tokyo University of

    Agriculture and Technology

    International Journal of

    Advanced Mechatronic

    Systems

    PROGRAM

    AND

    ABSTRACTS

    2020 International Conference on

    Advanced Mechatronic Systems

    December 10-13, 2020

    Hanoi, Vietnam

  • 2020 ICAMechS

    International Conference on Advanced Mechatronic Systems

    December 10-13, 2020

    Hanoi, Vietnam

    PROGRAM

    Organizers:

    IEEE Systems, Man, and Cybernetics Society

    Hanoi University of Science and Technology

    Tokyo University of Agriculture and Technology

    International Journal of Advanced Mechatronic Systems

    Sponsors:

    International Journal of Modelling, Identification and Control

    The Institute of Complex Medical Engineering

    Cooperation with:

    The Society of Instrument and Control Engineers

    The Institute of Systems, Control and Information Engineers

  • Organizing Committee (1)

    Advisory Chairs: Tianyou Chai, Northeastern University, China

    Akira Inoue, Okayama University, Japan

    Tsu-Tian Lee, Tamkang University, Taiwan

    Dinh Van Phong, Hanoi University of Science and Technology, Vietnam

    General Chairs: Mingcong Deng, Tokyo University of Agriculture and Technology, Japan

    Nguyen Huy Phuong, Hanoi University of Science and Technology, Vietnam

    Program Chairs: Xinkai Chen, Shibaura Institute of Technology, Japan

    Pham Viet Phuong, Hanoi University of Science and Technology, Vietnam

    Changan Jiang, Osaka Institute of Technology, Japan

    Shengjun Wen, Zhongyuan University of Technology, China

    Local Organization

    Chairs:

    Aihui Wang, Zhongyuan University of Technology, China

    Thanh Vo-Duy, Hanoi University of Science and Technology, Vietnam

    Special Session Chairs: Z. Q. Lang, University of Sheffield, UK

    Luigi Vladareanu, Romanian Academy of Science, Romania

    Shiro Masuda, Tokyo Metropolitan University, Japan

    S.G. Ponnambalam, Vellore Institute of Technology University, India

    Yan Shi, Tokai University, Japan

    Sallehuddin M. Haris, Universiti Kebangsaan Malaysia, Malaysia

    Ying Gao, South China University of Technology, China

    Duong Minh Duc, Hanoi University of Science and Technology, Vietnam

    Yongqiang Ye, Nanjing University of Aeronautics and Astronautics, China

    Publication Chairs: Xudong Gao, Nanjing University of Information Science & Technology, China

    Hossam A. Gabbar, University of Ontario Institute of Technology, Canada

    Dao Quy Thinh, Hanoi University of Science and Technology, Vietnam

    Publicity & Exhibition

    Chairs:

    Nibin Chang, University of Central Florida, USA

    Shuoyu Wang, Kochi University of Technology, Japan

    Tomohiro Henmi, Kawasaki University of Medical Welfare, Japan

    Yanfeng Wu, Henan University of Science and Technology, China

    Nguyen Kien Trung, Hanoi University of Science and Technology, Vietnam

    Do Trong Hieu, Hanoi University of Science and Technology, Vietnam

  • Organizing Committee (2)

    Registration Chairs: Jinglong Wu, Okayama University, Japan

    Shuhui Bi, University of Jinan, China

    Nguyen Manh Linh, Hanoi University of Science and Technology, Vietnam

    Students Activity Chairs: Ni Bu, Qingdao University of Science and Technology, China

    Akira Yanou, Kawasaki University of Medical Welfare, Japan

    Hoang Duc Chinh, Hanoi University of Science and Technology, Vietnam

    Best Paper Award Committee

    Chairs:

    Zijiang Yang, Ibaraki University, Japan

    Thuc Anh, Hanoi University of Science and Technology, Vietnam

    Honorary General Chairs: Hong Wang, Oak Ridge National Laboratory, USA

    Chunyi Su, Concordia University, Canada

    Ikuro Mizumoto, Kumamoto University, Japan

    Zongxiao Yang, Henan University of Science and Technology, China

    Hongnian Yu, Edinburgh Napier University, UK

    Jingxin Zhang, Swinburne University of Technology, Australia

    Xiaoguang Zhou, Beijing University of Posts and Telecommunications, China

    Mengchu Zhou, New Jersey Institute of Technology, USA

    Quanmin Zhu, University of the West of England, UK

    Lin Meng, Ritsumeikan University, Japan

    Secretary: Guanqiang Dong, Tokyo University of Agriculture and Technology, Japan

    Ximei Li, Tokyo University of Agriculture and Technology, Japan

    Yuanhong Xu, Tokyo University of Agriculture and Technology, Japan

  • Program Committee (1)

    Chairs: Xinkai Chen, Shibaura Institute of Technology, Japan

    Pham Viet Phuong, Hanoi University of Science and Technology, Vietnam

    Changan Jiang, Osaka Institute of Technology, Japan

    Shengjun Wen, Zhongyuan University of Technology, China

    Members List: Shuhui Bi, University of Jinan, China

    Aihui Wang, Zhongyuan University of Technology, China

    Kazuki Umemoto, Nagaoka University of Technology, Japan

    Marcel Bergerman, Carnegie Mellon University, USA

    Haibin Yu, Institute of Automation, China

    Liang Li, Ritsumeikan University, Japan

    Adrian Olaru, University Politehnica of Bucharest, Romania

    Toru Yamamoto, Hiroshima University, Japan

    Ajiboye Osunleke, Obafemi Awolowo University, Nigeria

    Dongyun Wang, Zhongyuan University of Technology, China

    Zhihong Man, Swinbume University of Technology, Australia

    Z. Q. Lang, University of Sheffield, UK

    Luigi Vladareanu, Romanian Academy of Science, Romania

    S.G. Ponnambalam, Vellore Institute of Technology University, India

    Ken Nagasaka, Tokyo University of Agriculture and Technology, Japan

    Sallehuddin M. Haris, Universiti Kebangsaan Malaysia, Malaysia

    Shuoyu Wang, Kochi University of Technology, Japan

    Florentin Smarandache, University of New Mexico, USA

    Hansheng Wu, Prefectural University of Hiroshima, Japan

    Dong Yue, Huazhong University of Science & Technology, China

    Dongya Zhao, China University of Petroleum, China

    Eldert Van Henten, Wageningen University, Netherlands

    Feng Qiao, Shenyang JianZhu University, China

    Hao Chen, China University of Mining and Technology, China

    Hiroyuki Takanashi, Nihon University, Japan

  • Program Committee (2)

    Members List: Kazuyuki Ito, Hosei University, Japan

    Liangyong Wang, Northeastern University, China

    Longguo Jin, Qingdao Technical College, China

    Masanori Takahashi, Tokai University, Japan

    Nader Barsoum, Curtin University of Technology, Malaysia

    Ni Bu, Qingdao University of Science and Technology, China

    Nobutaka Wada, Hiroshima University, Japan

    Shan Liang, Chongqin University, China

    Shaoyuan Li, Shanghai Jiaotong University, China

    Shigang Yue, University of Lincoln, UK

    Shuichi Wakimoto, Okayama University, Japan

    Wanli Yang, Zhuhai Institute of Jilin University, China

    Wei Wang, Dalian University of Technology, China

    Xiaolei Wang, Zhongyuan University of Technology, China

    Yang Liu, University of Exeter, UK

    Yang Shi, University of Victoria, Canada

    Yegui Xiao, Prefectural University of Hiroshima, Japan

    Yinlai Jiang, The University of Electro-Communications, Japan

    Zhengguang Hou, Institute of Automation, China

    Zhengtao Ding, University of Manchester, UK

    Zofia Lukszo, Delft University of Technology, Netherlands

    Hongbo Wang, Yanshan University, China

    Huijun Gao, Harbin Institute of Technology, China

    Huimin Xiao, Henan University of Finance and Economics, China

    Huiping Li, Northwestern Polytechnical University, China

    Ionel Staretu, Transilvania University of Brasov, Romania

    Jianqiang Yi, Institute of Automation, China

    Jing Yao, Tongji University, China

  • Jinliang Ding, Northeastern University, China

    John Billingsley, University of Southern Queensland, Australia

    John Reid, John Deere Moline Technology Innovation Center, USA

    Jose Ragot, Nancy-Université, France

    Yukinori Nakamura, Okayama University, Japan

    Seiji Saito, Polytechnic University, Japan

    Guang Jin, Tokai University, Japan

  • GREETINGS

    FROM THE GENERAL CHAIRS AND PROGRAM CHAIRS

    On behalf of ICAMechS 2020 Organizing Committee, it is our great pleasure and honor to welcome you all to the

    2020 International Conference on Advanced Mechatronic Systems. The conference is held partly online on

    December 10-13, 2020 in Hanoi, Vietnam, organized by IEEE Systems, Man, and Cybernetics Society, Hanoi

    University of Science and Technology, Tokyo University of Agriculture and Technology, International Journal of

    Advanced Mechatronic Systems; sponsored by International Journal of Modelling, Identification and Control, The

    Institute of Complex Medical Engineering, The Society of Instrument and Control Engineers, The Institute of

    Systems, Control and Information Engineers.

    ICAMechS 2020 is an all-volunteer conference, and it provides an international forum for professionals, academics,

    and researchers to present latest developments from interdisciplinary theoretical studies, computational algorithm

    development and applications of mechatronic systems. It particularly welcomes those emerging methodologies and

    techniques which bridge theoretical studies and applications in all mechatronic systems. Novel quantitative

    engineering and science studies may be considered as well. The accepted papers will be submitted for inclusion into

    IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.

    Hanoi is the vibrant capital of Vietnam and one of the bright lights of cities in Asia. Located on the banks of the Red

    River, it is one of the most ancient capitals in the world, where you can find well-preserved colonial buildings,

    ancient pagodas, and unique museums within the city center. A great place to explore on foot, this French-colonial

    city is also famous for its delectable cuisine, vibrant nightlife, silks and handicrafts, as well as a multi-cultural

    community that’s made up of Chinese, French and Russian influences. We hope you have a happy journey in Hanoi.

    Three distinguished speakers, Prof. Tianyou Chai (Northeastern University, China), Prof. Mengchu Zhou (New

    Jersey Institute of Technology, USA) and Prof. Hong Wang (Oak Ridge National Laboratory, USA) are invited to

    give plenary presentations. We would like to present our sincere thanks to the plenary speakers.

    We would like to present our special thanks to authors and participants of this conference, and the members of

    Advisory Committee, Program Committee and Organizing Committee.

    We hope that you all enjoy the conference and beautiful Hanoi.

    Best regards,

    2020 International Conference on

    Advanced Mechatronic Systems

    December 10-13, 2020

    Hanoi, Vietnam

  • General Chairs

    Program Chairs

  • CONFERENCE HIGHLIGHTS

    Under three reviewers for each paper by Program Committees and Organizing Committees, a total of 64 papers

    from different parts of the world were accepted and included into the final program of ICAMechS 2020. There

    are three plenary speeches. Each oral session consists of 4-5 papers, where we have 14 regular sessions. Papers

    were assigned with the sole purposed of forming coherent sessions.

    CONFERENCE REGISTRATION

    Since part of presentations are online, please note that Zoom test will be held on December 10, 2020.

    For participants in Vietnam, an oral presentation is required at Hanoi University of Science and Technology.

    The conference schedule based on Vietnam GMT+7 is as follows.

    10:00-16:00, December 10, 2020 (Thursday)

    09:00-17:10, December 11, 2020 (Friday)

    08:30-17:40, December 12, 2020 (Saturday)

    The full registration includes the Closing Ceremony and USB Conference Proceedings.

    SOCIAL EVENTS

    Closing ceremony and banquet (18: 10-20: 10, December 12, 2020, on-site in Vietnam).

    CONFERENCE LOCATION

    ICAMechS 2020 will be held partly online. For participants in Vietnam, please see the map of Hanoi University

    of Science and Technology below to confirm the specific location. For participants elsewhere, you can present

    your papers online.

    Conference site (for participants in Vietnam): Hanoi University of Science and Technology.

    Detailed location:

    ⚫ C2 Conference Room (Main Hall) -- Plenary Session.

    ⚫ C1-323 (Room 1) -- Parallel Session Rooms.

    ⚫ C9-104 (Room 2) -- Parallel Session Rooms.

  • Hanoi University of Science and Technology Map for ICAMechS 2020

  • PLENARY SPEAKERS

    Prof. Tianyou Chai, Northeastern University, China

    Tianyou Chai received the Ph.D. degree in control theory and engineering in 1985 from

    Northeastern University, Shenyang, China, where he became a Professor in 1988. He is the

    founder and Director of the Center of Automation, which became a National Engineering and

    Technology Research Center and a State Key Laboratory. He is a member of Chinese Academy

    of Engineering, IFAC Fellow and IEEE Fellow. He has served as director of Department of

    Information Science of National Natural Science Foundation of China from 2010 to 2018.

    His current research interests include modeling, control, optimization and integrated automation of

    complex industrial processes. He has published 240 peer reviewed international journal papers. His paper titled Hybrid

    intelligent control for optimal operation of shaft furnace roasting process was selected as one of three best papers for the

    Control Engineering Practice Paper Prize for 2011-2013. He has developed control technologies with applications to

    various industrial processes. For his contributions, he has won 5 prestigious awards of National Natural Science, National

    Science and Technology Progress and National Technological Innovation, the 2007 Industry Award for Excellence in

    Transitional Control Research from IEEE Multiple-conference on Systems and Control, and the 2017 Wook Hyun Kwon

    Education Award from Asian Control Association.

    Title:

    CPS Driven Control System

    Abstract:

    China has abundance of mineral resources such as magnesite, hematite and bauxite, which constitute a key

    component of its economy. The relatively low grade, and the widely varying and complex compositions of the raw

    extracts, however, pose difficult processing challenges including specialized equipment with excessive energy

    demands. The energy intensive furnaces together with widely uncertain features of the extracts form hybrid

    complexities of the system, where the existing modeling, optimization and control methods have met only limited

    success. Currently, the mineral processing plants generally employ manual control and are known to impose greater

    demands on the energy, while yielding unreasonable waste and poor operational efficiency. The recently developed

    Cyber-Physical System (CPS) provides a new key for us to address these challenges. The idea is to make the

    control system of energy intensive equipment into a CPS, which will lead to a CPS driven control system.

    This talk presents the syntheses and implementation of a CPS driven control system for energy-intensive equipment

    under the framework of CPS. The proposed CPS driven control system consists of four main functions: (I) setpoint

    control; (II) tracking control; (III) self-optimized tuning; and (IV) remote and mobile monitoring for operating

    condition. The key in realizing the above functions is the integrated optimal operational control methods to

    implement setpoint control, tracking control and self-optimized tuning together seamlessly. This talk introduces

    the integrated optimal operational control methods we proposed.

  • Hardware and software platform of CPS driven control system for energy-intensive equipment is then briefly

    introduced, which adopts embedded control system, wireless network and industrial cloud. It not only realizes the

    functions of computer control system using DCS (PLS), optimization computer and computer for abnormal

    condition identification and self-optimized tuning, but also achieves the functions of mobile and remote monitoring

    for industrial process.

    Then, using fused magnesium furnace as an example, a hybrid simulation system for CPS driven control system

    for energy-intensive equipment developed by our team is introduced. The results of simulation experiments show

    the effectiveness of the proposed method that integrates the setpoint control, tracking control, self-optimized tuning

    and remote and mobile monitoring for operating condition in the framework of CPS.

    The industrial application of the proposed CPS driven control system is also discussed. It has been successfully

    applied to the largest magnesia production enterprise in China, resulting in great returns. Finally, future research

    on the CPS driven control system is outlined.

  • Prof. Mengchu Zhou, New Jersey Institute of Technology, USA

    MengChu Zhou (Fellow, IEEE) received his B.S. degree in Control Engineering from Nanjing

    University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic

    Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in

    Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990.

    He joined New Jersey Institute of Technology (NJIT), Newark, NJ in 1990, and is now

    Distinguished Professor in Electrical and Computer Engineering. His research interests are in

    Petri nets, intelligent automation, Internet of Things, big data, web services, and intelligent transportation. He has

    over 900 publications including 12 books, 600+ journal papers (450+ in IEEE transactions), 26 patents and 29 book-

    chapters. He is the founding Editor of IEEE Press Book Series on Systems Science and Engineering, Editor-in-

    Chief of IEEE/CAA Journal of Automatica Sinica, and Associate Editor of IEEE Internet of Things Journal, IEEE

    Transactions on Intelligent Transportation Systems, and IEEE Transactions on Systems, Man, and Cybernetics:

    Systems. He is a recipient of Humboldt Research Award for US Senior Scientists from Alexander von Humboldt

    Foundation, Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man and

    Cybernetics Society, Excellence in Research Prize and Medal from NJIT, and Edison Patent Award from the

    Research & Development Council of New Jersey, USA. He is a highly cited scholar and ranked top one in the field

    of engineering worldwide in 2012 by Web of Science. He is a life member of Chinese Association for Science and

    Technology-USA and served as its President in 1999. He is a Fellow of International Federation of Automatic

    Control (IFAC), American Association for the Advancement of Science (AAAS) and Chinese Association of

    Automation (CAA).

    Title:

    Transforming Semiconductor Manufacturing Industry from Automation to Intelligenization with

    Industry 4.0 Technologies

    Abstract:

    Industry 4.0 intends to address a fast-changing and challenging manufacturing environment with diverse demands,

    short order lead-time and product life cycle, limited capacities, and highly complex process technologies. A

    semiconductor manufacturing system integrated with Industry 4.0 technologies, such as AI, machine learning, big

    data analytics, and Internet of Things, is capable of performing real-time monitoring and optimization of

    manufacturing processes in various aspects from high level strategic resource and production planning down to

    real-time equipment-level smart dispatching and predictive maintenance. By fully using real-time data and AI, the

    system is able to help manufacturers shorten production and R&D processes, increase production capacity, reduce

    production cost, guarantee product quality, and improve product yield. It is suitable to help not only high-tech

    industries such as semiconductor wafer fabrication, but also conventional labor-intensive sectors. This talk

    illustrates the transformation of semiconductor manufacturing activities from automation to intelligenization by

    using Industry 4.0 technologies through real-life wafer fabrication applications.

  • Prof. Hong Wang, Oak Ridge National Laboratory, USA

    Hong Wang (Senior Member, IEEE) received the master’s and Ph.D. degrees from the

    Huazhong University of Science and Technology, Wuhan, China, in 1984 and 1987,

    respectively. He was a Research Fellow with Salford University, Salford, U.K., Brunel

    University, Uxbridge, U.K., and Southampton University, Southampton, U.K., before joining

    the University of Manchester Institute of Science and Technology (UMIST), Manchester, U.K.,

    in 1992. He was a Chair Professor in process control of complex industrial systems with the

    University of Manchester, U.K., from 2002 to 2016, where he was the Deputy Head of the

    Paper Science Department, the Director of the UMIST Control Systems Centre from 2004 to 2007, which is the

    birthplace of Modern Control Theory established in 1966. He was a University Senate member and a member of

    general assembly during his time in Manchester. From 2016 to 2018, he was with the Pacific Northwest National

    Laboratory (PNNL), Richland, WA, USA, as a Laboratory Fellow and Chief Scientist, and was the Co-Leader and

    the Chief Scientist for the Control of Complex Systems Initiative. He joined the Oak Ridge National Laboratory in

    January 2019. His research focuses on stochastic distribution control, fault diagnosis and tolerant control, and

    intelligent controls with applications to transportation system area. He is a fellow of IET. He was an Associate Editor

    of the IEEE TRANSACTIONS ON AUTOMATIC CONTROL, the IEEE TRANSACTIONS ON CONTROL

    SYSTEMS TECHNOLOGY, and the IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND

    ENGINEERING. He is also a member for three IFAC Committees.

    Title:

    Collaborative Fault Tolerant Control of Non-Signalized Intersections for Connected and

    Autonomous Vehicles

    Abstract:

    With the potential of increased penetration of connected autonomous vehicles (CAVs), intersectional signal control

    faces new challenges in terms of its operation and implementation. One possibility is to fully make use of the

    communication capabilities of CAVs so that intersectional signal control can be realized by CAVs alone – this

    leads to non-signalized intersectional operation for traffic networks in urban areas. In this paper, the state-of-the-

    art on collaborative fault tolerant control schemes for complex systems will be briefly described. This is then

    followed by the formulation of operational fault tolerant control that realizes the collaborative fault tolerance

    functionality at CAVs operational level in response to possible individual vehicle faults, where detailed modelling

    using vehicle movement dynamics will be described together with the construction of fast fault diagnosis and

    collaborative fault tolerant control algorithm. A simple example will be given as well to demonstrate the proposed

    algorithm together with the discussions on the other issues such as randomness of the system, communication

    errors and full energy consideration. These leads to several future directions of the research for the traffic flow

    control of non-signalized intersections with 100% penetration of CAVs.

  • INSTRUCTIONS FOR ZOOM MEETINGS

    ➢ Download and Install Zoom

    Go to https://zoom.us/ download.

    URL: ①https://zoom.us/ ②https://zoom.com.cn/download (Author in China)

    Opening this link on an iOS or Android device will open the app store to download the Zoom mobile application.

    ➢ Join the meeting

    1. Joining via the link

    Main Hall: https://us02web.zoom.us/j/7899003885?pwd=UG5NTjBLbEVNVVBlZTk0WTdiMXRQQT09

    Room 1: https://us02web.zoom.us/j/7899003885?pwd=UG5NTjBLbEVNVVBlZTk0WTdiMXRQQT09

    Room 2: https://us02web.zoom.us/j/4424419277?pwd=NVN5Sy9nYXBaZVh1QkR6aWEvVjJwQT09

    2. Joining via a web browser(https://zoom.us/)

    Type the meeting ID or personal link name and click Join.

    3. Joining the meeting via Zoom client

  • Type the meeting ID or personal link name, your name, and click Join.

    Note: Zoom instructions for joining a meeting can be found here:

    https://support.zoom.us/hc/en-us/articles/206618765-Zoom-Video-Tutorials.

    ➢ Functionality of Zoom in the Meeting

    The Zoom Menu Bar appears at the bottom of the Zoom window once the meeting begins. If you can’t see the

    menu bar, move your mouse slightly and the bar will appear. (The bar disappears after a few seconds when in full-

    screen mode.)

    With the Zoom Menu Bar, you are able to:

    1. Mute/Unmute your audio. You can also select your audio input here by clicking the up arrow next to the

    microphone icon.

    2. Start/Stop your video. You can also select your video input here by clicking the up arrow next to the video

    camera icon.

    3. Invite more people to join by email, IM, or meeting ID.

    4. Open/Close a window of a list of participants and related details. The participants list allows you to “raise

    your hand” to let everyone know you wish to speak and see who else has their hand raised. You can also easily

    mute/unmute yourself on the participants list.

    5. Share your screen or select a specific application to share (e.g., Microsoft)

    6. Send a message to one person (using private chat) or to all participants.

    7. Record the meeting (if you have been granted permission).

    8. Leave or end the video meeting.

  • CONFERENCE PROGRAM

    Thursday, December 10, 2020

    10:00 - 11:00 Zoom Test 1

    13:00 - 14:00 Zoom Test 2

    14:30 - 16:00 Zoom Test 3

    Note:

    Room No. On-site in Vietnam Zoom Link Zoom ID Password

    Main Hall C2 Conference Room https://us02web.zoom.us/j/7899003885?pwd=UG

    5NTjBLbEVNVVBlZTk0WTdiMXRQQT09 789 900 3885 xh5956

    Room 1 C1-323 https://us02web.zoom.us/j/7899003885?pwd=UG5NTjBLbEVNVVBlZTk0WTdiMXRQQT09 789 900 3885 xh5956

    Room 2 C9-104 https://us02web.zoom.us/j/4424419277?pwd=NVN5Sy9nYXBaZVh1QkR6aWEvVjJwQT09 442 441 9277 h9uyX9

    2020 International Conference on

    Advanced Mechatronic Systems

    December 10 - 13, 2020

    Hanoi, Vietnam

  • Friday, December 11, 2020

    09:00 - 09:10 Opening Remarks Main Hall

    09:10 - 10:00 Plenary Speech 1 (PS01) Main Hall

    Title: CPS Driven Control System

    Plenary Speaker: Prof. Tianyou Chai, Northeastern University, China

    Chair: Prof. Zhihong Man, Swinburne University of Technology, Australia

    10:00 - 10:10 Break

    10:10 - 11:00 Plenary Speech 2 (PS02) Main Hall

    Title: Transforming Semiconductor Manufacturing Industry from Automation to

    Intelligenization with Industry 4.0 Technologies

    Plenary Speaker: Prof. Mengchu Zhou, New Jersey Institute of Technology, USA

    Chair: Prof. Changan Jiang, Osaka Institute of Technology, Japan

    11:00 - 11:10 Break

    11:10 - 12:00 Plenary Speech 3 (PS03) Main Hall

    Title: Collaborative Fault Tolerant Control of Non-Signalized Intersections for

    Connected and Autonomous Vehicles

    Plenary Speaker: Prof. Hong Wang, Oak Ridge National Laboratory, USA

    Chair: Prof. Shengjun Wen, Zhongyuan University of Technology, China

    12:00 - 13:30 Lunch Time

    13:30 - 15:10 Regular Session 1

    Room 1 Room 2

    FriA01

    Design and Control on Robotic Systems Ⅰ

    Paper ID:1061,1011,1013,1014,1015

    FriB01

    Design and Control on Robotic Systems Ⅱ Paper ID: 1017,1034,1005,1042,1027

    15:10 - 15:30 Break

    15:30 - 17:10 Regular Session 2

    Room 1 Room 2

    FriA02

    Developments of Novel Methodologies and

    Technique Ⅰ

    Paper ID: 1031,1032,1033,1038,1041

    FriB02

    Developments of Novel Methodologies and

    Technique Ⅱ

    Paper ID: 1063,1010,1004,1044,1057

  • Saturday, December 12, 2020

    08:30 - 10:10 Regular Session 3

    Room 1 Room 2

    SatA03

    Advanced Mechatronic Systems and Its

    Applications Ⅰ

    Paper ID:1012,1016,1018,1048,1049

    SatB03

    Advanced Mechatronic Systems and Its

    applications Ⅱ

    Paper ID:1066,1062,1030,1055, 1054

    10:10 - 10:20 Break

    10:20 - 12:00 Regular Session 4

    Room 1 Room 2

    SatA04

    Modeling and Simulation

    Paper ID:1059,1060,1040,1029,1001

    SatB04

    Pattern Recognition and Computer Vision

    Paper ID:1020,1058,1008,1056,1024

    12:00 - 13:00 Lunch time

    13:00 - 14:40 Regular Session 5

    Room 1 Room 2

    SatA05

    Nonlinear Control System Design Ⅰ

    Paper ID:1009,1039,1043,1037

    SatB05

    Nonlinear Control System Design Ⅱ

    Paper ID:1051,1064,1022,1026

    14:40 - 14:50 Break

    14:50 - 16:10 Regular Session 6

    Room 1 Room 2

    SatA06

    Intelligent Control in Complex Systems Ⅰ

    Paper ID:1019,1021,1065,1025

    SatB06

    Intelligent Control in Complex Systems Ⅱ

    Paper ID:1035,1047,1046,1045

    16:10 - 16:20 Break

    16:20 - 17:40 Regular Session 7

    Room 1 Room 2

    SatA07

    Signal and Image Processing

    Paper ID:1023,1036,1050,1053

    SatB07

    Optimization Algorithms in Hybrid Systems

    Paper ID:1028,1003,1002,1052

    18:10 - 20:10 Closing Ceremony and Banquet

  • 10:00-11:00 09:00-09:10 Main Hall

    13:00-14:00 09:10-10:00 Main Hall

    14:30-16:00

    10:00-10:10 Break

    10:10-11:00 Main Hall

    11:00-11:10 Break

    11:10-12:00 Main Hall

    2020 International Conference on

    Advanced Mechatronic SystemsDecember 10 - 13, 2020

    Hanoi, Vietnam

    Plenary Speech 2

    New Jersey Inst. of Tech., USA

    Oak Ridge National Laboratory, USA

    Plenary Speech 1

    CPS Driven Control System

    Chair: Prof. Shengjun Wen, Zhongyuan Univ. of Tech., China

    Prof. Mengchu Zhou

    Chair: Prof. Changan Jiang, Osaka Inst. of Tech., Japan

    TECHNICAL PROGRAM

    Chair: Prof. Zhihong Man, Swinburne Univ. of Tech., Australia

    Northeastern Univ., China

    ICAMechS 2020

    Thursday, Dec. 10, 2020

    ICAMechS 2020

    Friday, Dec. 11, 2020

    Zoom TestⅠ

    Zoom TestⅡ

    Zoom Test Ⅲ

    End of the 1st Day

    Opening Remarks

    Prof. Tianyou Chai

    Plenary Speech 3

    Transforming Semiconductor Manufacturing

    Industry from Automation to Intelligenization

    with Industry 4.0 Technologies

    Collaborative Fault Tolerant Control of Non-

    Signalized Intersections for Connected and

    Autonomous Vehicles

    12:00-13:30 Lunch

    Prof. Hong Wang

  • Chair: Dao Quy Thinh Hanoi Univ. of Sci. & Tech, Vietnam

    Co-Chair: Do Trong Hieu Hanoi Univ. of Sci. & Tech, Vietnam

    Chair: Pham Viet Phuong Hanoi Univ. of Sci. and Tech., Vietnam 13:30-13:50 FriB01-01

    13:30-13:50 FriA01-01

    Isira Naotunna Chiang Mai Univ., Thailand

    13:50-14:10 FriA01-02 Huy Hung Nguyen HCMUT, VNU-HCM, Saigon Univ., Vietnam

    Van Dong Nguyen HCMUT, VNU-HCM, Vietnam

    Van Sy Le PetroVietnam Univ., Vietnam

    Khanh Dat Truong HCMUT, VNU-HCM, Vietnam Tan Tien Nguyen HCMUT, VNU-HCM, Vietnam

    Anh Khoa Lanh Luu HCMUT, VNU-HCM, Vietnam

    Nhut Phuong Tong HCMUT, VNU-HCM, Vietnam 13:50-14:10 FriB01-02

    Huy Hung Nguyen HCMUT, VNU-HCM, Saigon Univ., Vietnam

    Tan Tien Nguyen HCMUT, VNU-HCM, Vietnam Luu Thi Hue HUST, Electric Power Univ., Vietnam

    Duong Minh Duc HUST, Vietnam

    14:10-14:30 FriA01-03 Nguyen Pham Thuc Anh HUST, Vietnam

    14:10-14:30 FriB01-03Xuan Tien Nguyen Saigon Univ., HUTECH, Vietnam

    Dang Hung Nguyen HCMUT, VNU-HCM, Vietnam

    Huy Hung Nguyen Saigon Univ.,HCMUT, VNU-HCM, Vietnam Pham Thuc Anh Nguyen Hanoi Univ. of Sci. and Tech., Vietnam

    Nhut Phuong Tong HCMUT, VNU-HCM, Vietnam Hoang Son Vietnam National Univ. of Forestry, Vietnam

    Thanh Phuong Nguyen HUTECH, Vietnam Van Tai Duong Vietnam National Univ. of Forestry, Vietnam

    Tan Tien Nguyen HCMUT, VNU-HCM, Vietnam

    14:30-14:50 FriA01-04

    14:30-14:50 FriB01-04

    Xuan Tien Nguyen Saigon Univ., HUTECH,Vietnam

    Tri Duc Tran HCMUT, VNU-HCM, Vietnam

    Huy Hung Nguyen Saigon Univ., HUTECH,Vietnam Thanh-Trung Nguyen Hanoi Univ. of Sci. and Tech., Vietnam

    Nhut Phuong Tong HCMUT, VNU-HCM, Vietnam Van-Huy Nguyen Hanoi Univ. of Sci. and Tech., Vietnam

    Thanh Phuong Nguyen HUTECH, Vietnam Xuan-Huong Nguyen Hanoi Univ. of Sci. and Tech., Vietnam

    Tan Tien Nguyen HCMUT, VNU-HCM, Vietnam

    14:50-15:10 FriB01-0514:50-15:10 FriA01-05

    Khanh Dat Truong HCMUT, VNU-HCM, Vietnam

    Anh Khoa Lanh Luu HCMUT, VNU-HCM, Vietnam Chen-xi Ju Univ. of Jinan,China

    Nhut Phuong Tong HCMUT, VNU-HCM, Vietnam Ping Jiang Univ. of Jinan,China

    Shi Li Univ. of Jinan,China

    Huy Hung Nguyen HCMUT, VNU-HCM, Saigon Univ., Vietnam

    Tan Tien Nguyen HCMUT, VNU-HCM, Vietnam

    FriA01 Room 1

    Design of Series Elastic Actuator Applied for Humanoid

    Balancing Walking Gait for Small Size Humanoid Robot by Using

    Movable Mass

    Controlling Center of Mass in Humanoid Robot Using Sliding Mode

    Control

    A Study on Series Elastic Actuator Applied for Human-Interactive

    Robot

    Regular Session 1

    Le Cuong Quoc BuiFaculty of Engineering Vocational, School of

    Binhthuan Province Binhthuan, Vietnam

    Design and Control on Robotic Systems Ⅱ

    Regular Session 1

    Technical Sessions

    13:30-15:10, Friday, Dec. 11, 2020

    FriB01 Room 2

    Van Hien NguyenHCMUT, VNU-HCM, PetroVietnam Camau

    Fertilizer Joint Stock Company, Vietnam

    Van Tu DuongHCMUT, VNU-HCM, Nguyen Tat Thanh

    Univ.,Vietnam

    Design and Control on Robotic Systems Ⅰ

    Comparison of ROS Local Planners with Differential Drive Heavy

    Robotic System

    Van Tu Duong HCMUT, VNU-HCM, Nguyen Tat Thanh Univ.,

    Vietnam

    Theeraphong Wongratanaphisan Chiang Mai Univ., Thailand

    Kinematic Study on Generated Thrust of Bio-inspired Robotic with

    Undulating Propulsion

    Trajectory Planning for Dual Arm Robot System in Consideration of

    the System Controller

    15:10-15:30 Break

    Co-Chair: Duong Minh Duc Hanoi Univ. of Sci. and Tech., Vietnam

    Van Tu Duong HCMUT, VNU-HCM, Nguyen Tat Thanh Univ.,

    Vietnam

    Comparing the Results of Applying DE, PSO and Proposed Pro DE,

    Pro PSO Algorithms for Inverse Kinematics Problem of a 5-DOF

    Scara Robot

    Developing Robotic System for Harvesting Pineapples

    Comparing the Results of Applying DE, PSO and Proposed Pro DE,

    Pro PSO Algorithms for Inverse Kinematics Problem of a 5-DOF

    Scara Robot

  • Chair:Yegui Xiao Prefectural Univ. of Hiroshima, Japan

    Co-Chair: Yongping Dan Zhongyuan Univ. of Tech., China

    15:30-15:50 FriB02-01Chair: Masami IWASE Tokyo Denki Univ., Japan

    Co-Chair: Changan Jiang Osaka Inst. of Tech., Japan

    15:30-15:50 FriA02-01X. Tan Prefectural Univ. of Hiroshima, Japan

    Y. Ma Jiangnan Univ., China

    Y. Xiao Prefectural Univ. of Hiroshima, Japan

    Jotaro Suzuki Tokyo Denki Univ., Japan L. Ma Concordia Univ., Canada

    Masami Iwase Tokyo Denki Univ., Japan K. Khorasani Concordia Univ., Canada

    15:50-16:10 FriA02-02 15:50-16:10 FriB02-02

    Yusaku Takada Tokyo Denki Univ., Japan

    Shotaro Nakamura Tokyo Denki Univ., Japan Ziti Fariha Mohd Apandi Mie Univ., Japan

    Sakie Morioka Tokyo Denki Univ., Japan Ryojun Ikeura Mie Univ., Japan

    Masami Iwase Tokyo Denki Univ., Japan Soichiro Hayakawa Mie Univ., Japan

    Shigeyoshi Tsutsumi Mie Univ., Japan

    16:10-16:30 FriA02-0316:10-16:30 FriB02-03

    Keitaro Kaneta Tokyo Denki Univ., Japan Yixiong Feng Zhejiang Univ., China

    Masami Iwase Tokyo Denki Univ., Japan Chuan He Zhejiang Univ., China

    Nobutsuna Endo Tokyo Denki Univ., Japan Jianrong Tan Zhejiang Univ., China

    Hao Zheng Beihang Univ., China

    16:30-16:50 FriA02-04 Yicong Gao Zhejiang Univ., China

    16:30-16:50 FriB02-04

    Sho Fujiwara Tokyo Denki Univ., Japan

    Masami Iwase Tokyo Denki Univ., Japan

    Nobutsuna Endo Tokyo Denki Univ., Japan Wudai Liao Zhongyuan Univ. of Tech., China

    Chaochuan Zhang Zhongyuan Univ. of Tech., China

    16:50-17:10 FriA02-05 Jinhuan Chen Zhongyuan Univ. of Tech., China

    Xiaosong Liang Zhongyuan Univ. of Tech., China

    Jun Zhou Zhongyuan Univ. of Tech., China

    Atsushi Suyama Tokyo Denki University Tokyo, Japan 16:50-17:10 FriB02-05Masami Iwase Tokyo Denki University Tokyo, Japan

    Nobutsuna Endo Tokyo Denki University Tokyo, Japan

    Kai Tian Henan Univ. of Sci. and Tech., China

    Yanfeng Wu Henan Univ. of Sci. and Tech., China

    FriB02 Room 2 Technical Sessions

    15:30-17:10, Friday, Dec. 11, 2020

    FriA02

    Development of a Forest Inventory System by Multicopter Flying in

    Forest

    Development of Powered Wheelchair Expanding Reach of User

    End of the 2nd Day

    Room 1

    Developments of Novel Methodologies and

    Technique Ⅱ

    Regular Session 2

    Regular Session 2

    Developments of Novel Methodologies and

    Technique Ⅰ

    Assessment of the Design Complexity of Modular Automated

    Assembly System

    Development of Powered Wheelchair Expanding Range of

    Independent Activities of Physically-handicapped Person

    Near Boundary Control of Automotive Engine Using Machine

    Learning

    Development of Myoelectric Prostheses with Elbow Joint

    A New Feedback Narrowband Active Noise Control System with

    Online Secondary-path Modeling Based on Adaptive Notch Filtering

    Noise Reduction Method based on Autocorrelation for Threshold-

    based Heartbeat Detection

    Design of Anti-glare Device for Freeway with Power Generation

    Using a Vertical Axis Wind Turbine

    Global Stability Criterion of Memristor-based Recurrent Neural

    Networks with Time Delays

  • Chair: Zhihong Man Swinburne Univ. of Tech., Australia

    Co-Chair: Hong Wang Oak Ridge National Laboratory, USA

    08:30-08:50 SatB03-01

    Chair: Vo Duy Thanh Hanoi Univ. of Sci. and Tech., Vietnam

    Co-Chair: Nguyen Danh Hu Hanoi Univ. of Sci. and Tech., Vietnam Hanoi Univ. of Sci. and Tech., Vietnam

    Hong Wang Oak Ridge National Laboratory, USA

    08:30-08:50 SatA03-01

    08:50-09:10 SatB03-02

    Hoang Giang Tran Hiep Phat mechatronic Co. LTD,Vietnam

    Khac Sinh Le Hochiminh City Univ. of Food Industry, Vietnam

    Thanh Luan Bui HUTECH Univ., Vietnam

    Huy Hung Nguyen Saigon Univ., Vietnam Huy Diep Do Univ. of Engineering and Tech., Vietnam

    Van Duc Nguyen Univ. of Engineering and Tech., Vietnam

    08:50-09:10 SatA03-02 Xuan Quynh Nguyen Hanoi Univ. of Sci. & Tech., Vietnam

    The Ba Dang Univ. of Engineering and Tech., Vietnam

    09:10-09:30 SatB03-03

    Huy Hung Nguyen HCMUT, VNU-HCM, Saigon Univ., Vietnam

    Tan Tien Nguyen HCMUT, VNU-HCM, Vietnam Tatsuya Terashima Tokyo Denki Univ., Japan

    Trong Trung Nguyen Hochiminh city Univ. of Transport, Vietnam Ryo Suzuki Tokyo Denki Univ., Japan

    Van Khoi Vu HCMUT, VNU-HCM, Vietnam Masami Iwase Tokyo Denki Univ., Japan

    Hoang Long Phan HCMUT, VNU-HCM, Vietnam

    09:30-09:50 SatB03-0409:10-09:30 SatA03-03

    Thien Phuc Tran Ho Chi Minh City Univ. of Tech., Vietnam Fen Liang Zhengzhou College of Economics and trade, China

    Truong Thuan Nguyen HCMUT, VNU-HCM, Vietnam Qiangsong Zhao Zhongyuan Univ. of Tech., China

    Cong Toai Truong HCMUT, VNU-HCM, Vietnam

    Tan Tien Nguyen HCMUT, VNU-HCM, Vietnam 09:50-10:10 SatB03-0509:30-09:50 SatA03-04

    Bao Binh Pho Hanoi Univ. of Sci. and Tech., Vietnam Yongping Dan Zhongyuan Univ. of Tech., China

    Trong Minh Tran Hanoi Univ. of Sci. and Tech., Vietnam Zhuo Li Zhongyuan Univ. of Tech., China

    Manh Linh Nguyen Hanoi Univ. of Sci. and Tech., Vietnam Fengge Wang Zhongyuan Univ. of Tech., China

    Phuong Vu Hoang Hanoi Univ. of Sci. and Tech., Vietnam

    09:50-10:10 SatA03-05

    Trong Hieu Do Hanoi Univ. of Sci. and Tech., Vietnam

    Minh Duc Duong Hanoi Univ. of Sci. and Tech., Vietnam

    Manh Linh Nguyen Hanoi Univ. of Sci. and Tech., Vietnam

    Quy Thinh Dao Hanoi Univ. of Sci. and Tech., Vietnam

    The System of Three-phase Electric Parameter Detection Based on

    the Internet of Things

    An Improved Error Interpolator of Milling CNC Controller Based

    on FPGA

    Technical Sessions

    08:30-10:10, Saturday, Dec. 12, 2020

    SatA03

    Kinematic Model Reference Adaptive Controller for a Lurking Type

    Automated Guided Vehicle Using Traction Drive Unit

    Regular Session 3

    Collaborative Fault Tolerant Control of NonSignalized Intersections

    for Connected and Autonomous Vehicles

    Room 2

    Advanced Mechatronic Systems and Its

    Applications Ⅱ

    Regular Session 3

    SatB03

    Room 1

    ICAMechS 2020

    Saturday, Dec. 12, 2020

    Optimizing Linear Generator Design’s Parameters for Output Power

    Using Mix Numerical and Analytical Technique

    Study on Designing and Manufacturing Coaxial Brussless DC Motor

    The Reliability Analysis of Welding Robots Based on Fault Tree

    10:10-10:20 Break

    Discrete-time Quasi Sliding Mode Control of Single-phase T-type

    Inverters for Residential PV Applications

    A Combination of Distributed Delays Shapers and ADRC for Gantry

    Crane Control

    Van Tu Duong HCMUT, VNU-HCM, Nguyen Tat Thanh Univ.,

    Vietnam

    Advanced Mechatronic Systems and Its

    Applications Ⅰ

    Realization of Autonomous Drive Control of Power-assisted Bicycle

  • Chair: Shan Liang Chongqing Univ., China

    Co-Chair: Lin Meng Ritsumeikan Univ., Japan

    Chair: Akira Inoue Okayama Univ., Japan 10:20-10:40 SatB04-01Co-Chair: Masami IWASE Tokyo Denki Univ., Japan

    10:20-10:40 SatA04-01 Sicheng Li Swinburne Univ. of Tech., Australia

    Zhihong Man Swinburne Univ. of Tech., Australia

    Yuan Chen Shandong Univ. at Weihai, China

    Quy-Thinh Dao Hanoi Univ. of Sci. and Tech., Vietnam

    Hai-Trieu Le Hanoi Univ. of Sci. and Tech., Vietnam 10:40-11:00 SatB04-02Manh-Linh Nguyen Hanoi Univ. of Sci. and Tech., Vietnam

    Trong-Hieu Do Hanoi Univ. of Sci. and Tech., Vietnam

    Minh-Duc Duong Hanoi Univ. of Sci. and Tech., Vietnam Linh Tao Hanoi Univ. of Sci. and Tech., Vietnam

    Tinh Nguyen Hanoi Univ. of Sci. and Tech., Vietnam

    10:40-11:00 SatA04-02 Trung Nguyen Hanoi Univ. of Sci. and Tech., Vietnam

    Tran Vu Minh Hanoi Univ. of Sci. and Tech.,Vietnam

    11:00-11:20 SatB04-03

    Xinkai Chen Shibaura Inst. of Tech., Japan

    Yusuke Shiba Tokyo Gakugei Univ., Japan

    11:00-11:20 SatA04-03 Shinichi Imai Tokyo Gakugei Univ., Japan

    11:20-11:40 SatB04-04Toru Usami Tokyo Univ. of Agri. and Tech., Japan

    Mingcong Deng Tokyo Univ. of Agri. and Tech., Japan

    Kentaro YOKOO Ritsumeikan Univ., Japan

    11:20-11:40 SatA04-04 Masahiko ATSUMI Ritsumeikan Univ., Japan

    Kei TANAKA Ritsumeikan Univ., Japan

    Haoqing WANG Ritsumeikan Univ., Japan

    Takumi Yamato Tokyo Denki Univ., Japan Lin MENG Ritsumeikan Univ., Japan

    Masami Iwase Tokyo Denki Univ., Japan

    Zini Stefano Tokyo Denki Univ., Japan 11:40-12:00 SatB04-05Francesco Dal Corso Tokyo Denki Univ., Japan

    11:40-12:00 SatA04-05Hailin Zhang Chongqing Univ., China

    Junjun Xu Zhejiang Univ., China

    Bo Liu Zhejiang Univ., China

    Kangjie Li Zhejiang Univ., China

    Yixiong Feng Zhejiang Univ., China

    Hao Zheng Beihang Univ., China

    Yicong Gao Zhejiang Univ., China Jing Liang Chongqing Univ., China

    Hao Zhang Chongqing Univ., China

    Shan Liang Chongqing Univ., China

    Hybrid Global Optimization Methods and Iterative Closest Point on

    Point-based Approach for 3D Registration

    Development of Engineering Educational Support System for

    Manufacturing Using Augmented Reality

    Central Sichuan District of Petro China Southwest

    Oil & Gas Field Company, ChinaLu Liu

    Modeling of 3–DOF Micro–hand for One or Two Inputs

    12:00-13:00 Lunch

    Design and Structure Analysis of Multi-legged Bionic Soft Robot

    Central Sichuan District of Petro China Southwest

    Oil & Gas Field Company, ChinaJuan Dai

    Regular Session 4

    A Modified Bouc-Wen Model of Pneumatic Artificial Muscles in

    Antagonistic Configuration

    Technical Sessions

    10:20-12:00, Saturday, Dec. 12, 2020

    SatA04 Room 1

    Modeling and Simulation

    Tran Thanh TungUniv. of Engineering and Tech., Vietnam National

    Univ., Vietnam

    Pattern Recognition and Computer Vision

    Precision Control of Piezoelectric Actuator Using Modified Bouc-

    Wen Model

    Modeling with the Projection Method Considering the Impact State

    Regular Session 4

    A Self-adaptive Global Harmony Search Based Extreme Learning

    Machine for Cassification Problem

    SatB04 Room 2

    Spatio-temporal Fusion Model of Natural Gas Pipeline Condition

    Monitoring Based on Convolutional Neural Network and Long

    Short-term Memory Neural Network

    Central Sichuan District of Petro China Southwest

    Oil & Gas Field Company, ChinaLi Ma

    Deep Learning Based Emotion Recognition IoT System

    Tam BuiShibaura Inst. of Tech., Japan; Hanoi Univ. of Sci.

    and Tech., Vietnam

  • Chair: Shengjun Wen Zhongyuan Univ. of Tech., China

    Co-Chair: Yongping Dan Zhongyuan Univ. of Tech., China

    13:00-13:20 SatB05-01Chair: Changan Jiang Osaka Inst. of Tech., Japan

    Co-Chair: Zhiqiang Lang Univ. of Sheffield, UK

    13:00-13:20 SatA05-01Akira Inoue Okayama Univ., Japan

    Mingcong Deng Tokyo Univ. of Agri. and Tech., Japan

    Shiro Masuda Tokyo Metropolitan Univ., Japan

    Nguyen Quang Nam National Univ. of Singapore, Singapore Shin-ichi Yoshinaga Kagawa College, Japan

    13:20-13:40 SatA05-02 13:20-13:40 SatB05-02

    Akihiro Kumaki Tokyo Denki Univ., Japan Shengjun Wen Zhongyuan Univ. of Techn., China

    Masami Iwase Tokyo Denki Univ., Japan Ping Liu Zhongyuan Univ. of Techn., China

    Jun Yu Zhongyuan Univ. of Techn., China

    13:40-14:00 SatA05-03

    13:40-14:00 SatB05-03

    Mingcong Deng Tokyo Univ. of Agri. and Tech., Japan Xiaoliang Shi Northeastern Univ. Shenyang, China

    Tomoki Koide Tokyo Univ. of Agri. and Tech., Japan

    14:00-14:20 SatB05-04

    14:00-14:20 SatA05-04

    Weidong Cheng Chongqing Univ., China

    Akihiko Katsuta Tokyo Denki Univ., Japan Tong Liu Chongqing Univ., China

    Masami Iwase Tokyo Denki Univ., Japan Shan Liang Chongqing Univ., China

    Temperatrue Control of Microwave Heating System by Adaptive

    Dynamic Programming

    Experimental Studies on Operator-based Nonlinear Vibration

    Control of a Flexible Arm Considering Prescribed Performance

    A Predictor Based on a Modified Full-order Observer for

    Generalized Minimum Variance Control Equivalent to Polynomial

    Approach

    Characteristics of S-curve Motion Profile for All Ranges of Motion

    Length and Limits

    Realization of Robust Yo-yo Operation

    Break

    Regular Session 5

    Nonlinear Control System Design Ⅰ

    Regular Session 5

    Control System Design via Neural Networks Using System Structures

    Nonlinear Control System Design Ⅱ

    Control of Hardening Layer by Pre-stressed Hardening Grinding

    Technical Sessions

    13:00-14:40, Saturday, Dec. 12, 2020

    SatA05 Room 1

    SatB05 Room 2

    Development of Operator Based Tracking Controller Design for a

    Perturbed Peltier Refrigeration System

    14:40-14:50

  • Chair: Aihui Wang Zhongyuan Univ. of Tech., China

    Co-Chair: Shan Liang Chongqing Univ., China

    Chair: Tran Vu Minh Hanoi Univ. of Sci. and Tech., Vietnam 14:50-15:10 SatB06-01

    14:50-15:10 SatA06-01Shunsuke Sakamoto Tokyo Denki Univ., Japan

    Masami Iwase Tokyo Denki Univ., Japan

    15:10-15:30 SatB06-02

    Vu Ngoc Bich Hochiminh city Univ. of Transport, Vietnam

    Nguyen Thi Ngoc Hoa Hochiminh city Univ. of Transport, Vietnam Jun Yu Zhongyuan Univ. of Tech., China

    Shuaishuai Zhang Zhongyuan Univ. of Tech., China

    Aihui Wang Zhongyuan Univ. of Tech., China

    Wei Li Zhongyuan Univ. of Tech., China

    15:30-15:50 SatB06-03

    15:10-15:30 SatA06-02Junlan Lu Zhongyuan Univ. of Tech., China

    Wang Aihui Zhongyuan Univ. of Tech., China

    Zhengxiang Ma Zhongyuan Univ. of Tech., China

    Yosuke Furukawa Tokyo Univ. of Agri. and Tech., Japan

    Mingcong Deng Tokyo Univ. of Agri. and Tech., Japan 15:50-16:10 SatB06-04

    15:30-15:50 SatA06-03

    Yifei Ge Zhongyuan Univ. of Tech., China

    Yongping Dan Zhongyuan Univ. of Tech., China

    Roan Van Hoa Univ. of Economics-Tech. for Industries, Vietnam Aihui Wang Zhongyuan Univ. of Tech., China

    Tran Duc Chuyen Univ. of Economics-Tech. for Industries, Vietnam Shuaishuai Zhang Zhongyuan Univ. of Tech., China

    Nguyen Tung Lam Hanoi Univ. of Sci. and Tech., Vietnam,

    Tran Ngoc Son Univ. of Economics-Tech. for Industries, Vietnam

    Nguyen Duc Dien Univ. of Economics-Tech. for Industries, Vietnam

    Vu Thi To Linh Univ. of Economics-Tech. for Industries, Vietnam

    15:50-16:10 SatA06-04

    Changan Jiang Osaka Inst. of Tech., Japan

    Kinchong Chu Ritsumeikan Univ., Japan

    Satoshi Ueno Ritsumeikan Univ., Japan

    Static Analysis of a 3-link Object for Posture Maintenance Control

    by Nonprehensile Robot without Compensating Friction

    Hochiminh city Univeristy of Tech., Vietnam

    National Univ. Hochiminh city, Vietnam

    Tran Hai Hochiminh city Univeristy of Tech., National Univ.

    Hochiminh city, Vietnam

    Tran Van TaoHochiminh city Univeristy of Tech., Vietnam

    National Univ., Vietnam

    Nguyen Duy AnhHochiminh city Univeristy of Tech.,Vietnam

    National Univ. Hochiminh city, Vietnam

    SatB06 Room 2

    Intelligent Control in Complex Systems ⅡSatA06 Room 1

    Parametric Hull Form Variation-based Genetic Algorithm for

    Reduced Ship Resistance

    Fault Detection of Tank-system Using ChangeFinder and SVM

    Adaptive Control of the Rehabilitation Robot with the Model

    Uncertainty Based on Real Human Gait

    Throwing Motion for Yo-yo Forward-pass Operation Based on Wave

    Propagation

    Intelligent Control in Complex Systems Ⅰ

    Reinforcement Learning Based Method for Autonomous Navigation

    of Mobile Robots in Unknown Environments

    Technical Sessions

    14:50-16:10, Saturday, Dec. 12, 2020

    Regular Session 6

    Tat-Hien Le

    Regular Session 6

    Co-Chair: Nguyen Tung Lam Hanoi Univ. of Sci. and Tech., Vietnam

    Human Gait Analysis Based on OpenSim

    Lower Limb Rehabilitation Robot Control Based on Human Gait

    Data andPlantar Reaction Force

    16:10-16:20 Break

  • Chair: Lin Meng Ritsumeikan Univ., Japan

    Co-Chair: Aravinda C V NMAM Inst. of Tech. NITTE, India

    Chair: Yegui Xiao Prefectural Univ. of Hiroshima, Japan 16:20-16:40 SatB07-01Co-Chair: Yanfeng Wu Henan Univ. of Sci. and Tech., China

    16:20-16:40 SatA07-01

    Yunpeng Zhu Univ. of Sheffield, UK

    Zelin Meng Ritsumeikan Univ., Japan Z Q Lang Univ. of Sheffield, UK

    Zhiyu Zhang Ritsumeikan Univ., Japan

    Zhihong Man Swinburne Univ. of Tech., Australia 16:40-17:00 SatB07-02Hiroyuki Tomiyama Ritsumeikan Univ., Japan

    Lin Meng Ritsumeikan Univ., Japan

    16:40-17:00 SatA07-02 Yixiong Feng Zhejiang Univ., China

    Chen Yang Zhejiang Univ., China

    Tianyue Wang Zhejiang Univ., China

    Masahiko ATSUMI Ritsumeikan Univ., Japan Hao Zheng Beihang Univ., China

    Syunsuke KAWANO Ritsumeikan Univ., Japan Yicong Gao Zhejiang Univ., China

    Tomoki MORIOKA Ritsumeikan Univ., Japan

    Lin MENG Ritsumeikan Univ., Japan

    17:00-17:20 SatA07-03 17:00-17:20 SatB07-03

    Aravinda C.V N.M.A.M Inst. of Tech. (NITTE.), INDIA Shanghua Mi Zhejiang Univ., China

    Udaya Kumara Reddy K R N.M.A.M Inst. of Tech. (NITTE.), INDIA Zengwei Ji Zhejiang Univ., China

    Lin Meng Ritsumeikan Univ., Japan Hao Zheng Beihang Univ., China

    Amar Prabhu G Komatsu Co., Japan Yicong Gao Zhejiang Univ., China

    17:20-17:40 SatA07-04 17:20-17:40 SatB07-04

    Yongping Dan Zhongyuan Univ. of Tech. , China

    MengChu Zhou New Jersey Inst. of Tech., USA

    Qi Kang Tongji Univ., China

    18: 10-20:10 Main Hall

    South Indian Character Recognition Using Statistical Feature

    Extraction and Distance Classifier

    A Shortest Path Algorithm of Long-period Cyclic Fully Connected

    Layer Graph Based on Dijkstra Algorithm

    Quality Control System of Automobile Bearing Production Based on

    Edge Cloud Collaboration

    Optimal Design of Nonlinear Systems by Using the Low Dimension

    Associated Output Frequency Response Function (AOFRF)

    Wei FanChina Unicom (Zhejiang) Industrial Internet Co.,

    Ltd, China

    End of the 3rd Day

    Closing Ceremony and Banquet

    Regular Session 7

    Department of Control Sci. and Engineering,

    Shanghai Inst. of Intelligent Sci. and Tech., Tongji

    Univ., China

    HanQiu Bao

    Jing An

    Hongli He Rail Transit Inst. Henan College of

    Transportation, ChinaSchool of Electrical and Electronic Engineering,

    Shanghai Inst. of Tech., China

    Signal and Image Processing

    Technical Sessions

    16:20-17:40, Saturday, Dec. 12, 2020

    SatA07 Room 1

    Regular Session 7

    Rubbing Character Recognition with Machine Learning

    Deep Learning Based Ancient Asian Character Recognition

    SatB07 Room 2

    Optimization Algorithms in Hybrid Systems

    The Research and Design of Smart Mobile Robotic Arm Based on

    Gesture Controlled

    A Data-driven MPC Algorithm for Bridge Cranes

  • ICAMechS 2020

    Sunday, Dec. 13, 2020

    Technical Tour

    End of the Conference

  • Vietnam Time (GMT+7)

    13:30 - 15:10, Friday, December 11, 2020Chair: Pham Viet Phuong (Hanoi Univ. of Sci. and Tech., Vietnam)

    FriA01, Room 1 Co-Chair: Duong Minh Duc (Hanoi Univ. of Sci. and Tech., Vietnam)

    FriA01-01 FriA01-02

    Comparison of ROS Local Planners with Differential Drive Heavy

    Robotic System

    A Study on Series Elastic Actuator Applied for Human-

    Interactive Robot

    Isira Naotunna and Theeraphong Wongratanaphisan

    (Chiang Mai Univ., Thailand)

    Khanh Dat Truong, Anh Khoa Lanh Luu and Nhut Phuong Tong

    (HCMUT, VNU-HCM, Vietnam)

    Van Tu Duong (HCMUT, VNU-HCM, Nguyen Tat Thanh Univ., Vietnam)

    Huy Hung Nguyen (HCMUT, VNU-HCM, Saigon Univ., Vietnam)

    Tan Tien Nguyen (HCMUT, VNU-HCM, Vietnam)

    This work aims to analyze the performance of ROS local planners with a

    differential drive heavy robotic system. Intel Realsense D435i depth camera and

    T265 tracking camera are used as the primary sensor source for navigation with

    real-time appearance-based mapping and localization technique. This work has

    studied the performance of DWA, TEB, and EBand local planners under two

    experiments. Obtained results are used to analyze the local planners based on how

    well it follows the global planners, their obstacle avoidance capability, time

    consumption, goal-reaching accuracy, and the quality of motion generation.

    Obtained results indicate that DWA and TEB local planners are more suitable for

    the large differential drive robot setup.

    This paper studies the development of series elastic actuators (SEAs) utilized as

    a power transmission for human-interactive robots and exoskeletons. By

    applying this type of actuator, a joint mechanism can provide low output

    impedance, large force range and bandwidth, high fidelity of force control, and

    tolerance to shocks. First, a prototype of SEAs is developed using two elastic

    elements with various stiffness that can produce a desired joint torque based on

    the reference walking gait of human. Then, a mathematical modeling of SEAs is

    achieved to investigate the kinematic and dynamic of SEAs. In order to operate

    SEAs, a traditional PID controller is adopted, which is developed based on the

    pole placement method to stabilize the dynamic system of SEAs. The

    effectiveness and reliability of SEAs are evaluated through simulation and

    experimental results on a test-bench.

    FriA01-03 FriA01-04

    Balancing Walking Gait for Small Size Humanoid Robot by Using

    Movable Mass

    Controlling Center of Mass in Humanoid Robot Using Sliding

    Mode Control

    Xuan Tien Nguyen (Saigon University, Hochiminh City Univ. of Tech., Vietnam)

    Dang Hung Nguyen (HCMUT, VNU-HCM, Vietnam)

    Huy Hung Nguyen (Saigon Univ., HCMUT, VNU-HCM, Vietnam)

    Nhut Phuong Tong ( HCMUT, VNU-HCM,Vietnam)

    Thanh Phuong Nguyen (Hochiminh City Univ. of Tech., Vietnam)

    Tan Tien Nguyen (HCMUT, VNU-HCM, Vietnam)

    Xuan Tien Nguyen (Saigon Univ., Hochiminh City Univ. of Tech., Vietnam)

    Tri Duc Tran (HCMUT, VNU-HCM, Vietnam)

    Huy Hung Nguyen (Saigon Univ., HCMUT, VNU-HCM, Vietnam)

    Nhut Phuong Tong (HCMUT, VNU-HCM, Vietnam)

    Thanh Phuong Nguyen (Hochiminh City Univ. of Tech., Vietnam)

    Tan Tien Nguyen (HCMUT, VNU-HCM, Vietnam)

    This paper describes a method used in stabilizing the walking gait of HUNO - a

    small size humanoid robot by using a movable mass. This method eliminates the

    movement of the robot's pelvis when walking. In previous study, a model for the

    robot was derived and simulation was done based on that model. In this paper, the

    aforementioned model is implemented on real life robot. Then, a simple PID is

    deduced to control the real movable mass mechanism. Finally, the effectiveness of

    the proposed method is shown through experimental results.

    To successfully realize biped walking process for humanoid robot, a precise

    mathematical model expressing the dynamic characteristics for the robot is

    required. In previous works, the lower body of humanoid robot UXA-90 was

    only given kinematic model, and it was controlled by a traditional PID

    controller. This leads to inaccuracy in joints' velocities, accelerations when

    implement the controller on real robot, therefore its performance degrades over

    time as the dynamic characteristics were not taken into consideration. Hence, a

    novel controller tracking the joint trajectories based on dynamic model should

    be given to actually realize biped walking process. In this paper, a mathematical

    model describing the 12 degree of freedoms (DOFs) dynamic of the humanoid

    robot's lower body is derived using Euler-Lagrange method. Then, a sliding

    mode controller (SMC) based on the aforementioned model is used to control

    the joint trajectories. Finally, the simulation results are investigated through

    MATLAB to evaluate the effectiveness of the proposed controller.

    FriA01-05

    Design of Series Elastic Actuator Applied for Humanoid

    Khanh Dat Truong, Anh Khoa Lanh Luu and Nhut Phuong Tong

    (HCMUT, VNU-HCM, Vietnam)

    Van Tu Duong (HCMUT, VNU-HCM, Nguyen Tat Thanh Univ., Vietnam)

    Huy Hung Nguyen (HCMUT, VNU-HCM, Saigon Univ., Vietnam)

    Tan Tien Nguyen (HCMUT, VNU-HCM, Vietnam)

    This paper describes the mechanical design of a humanoid lower limb driven by

    Series Elastic Actuator (SEA). The design is based upon the frame of the

    commercial UXA-90 humanoid, with the conventional rotation joints in spatial

    plane are replaced by SEA. A modular design of SEA is adopted for each specific

    joint (ankle, knee and hip) so that different walking patterns can be applied to the

    humanoid for more flexible movement. Moreover, by introducing the elastic

    element in the actuator, the humanoid can achieve higher fidelity of force control

    and better tolerance to shocks load during full cycle gaits. A prototype of the

    humanoid is built and then used to conduct experiment in two different cases:

    hanging in the air for free load conditions and performing step forward for fully

    load conditions. The experimental results validate the capability of the design and

    evaluate the performance of the actuators.

    Regular Session 1Design and Control on Robotic Systems Ⅰ

  • Vietnam Time (GMT+7)

    13:30 - 15:10, Friday, December 11, 2020Chair: Dao Quy Thinh (Hanoi Univ. of Sci. and Tech., Vietnam)

    FriB01, Room 2 Co-Chair: Do Trong Hieu (Hanoi Univ. of Sci. and Tech., Vietnam)

    FriB01-01 FriB01-02

    Kinematic Study on Generated Thrust of Bio-inspired Robotic

    with Undulating Propulsion

    Trajectory Planning for Dual Arm Robot System in

    Consideration of the System Controller

    Van Hien Nguyen (HCMUT, VNU-HCM, PetroVietnam Camau Fertilizer Joint

    Stock Co., Vietnam)

    Van Tu Duong (HCMUT, VNU-HCM, Nguyen Tat Thanh Univ.,Vietnam)

    Huy Hung Nguyen (HCMUT, VNU-HCM, Saigon Univ., Vietnam)

    Van Dong Nguyen (HCMUT, VNU-HCM, Vietnam)

    Van Sy Le (PetroVietnam Univ., Vietnam)

    Tan Tien Nguyen (HCMUT, VNU-HCM, Vietnam)

    Luu Thi Hue

    (Hanoi Univ. of Sci. and Tech., Electric Power Univ., Vietnam)

    Duong Minh Duc and Nguyen Pham Thuc Anh

    (Hanoi Univ. of Sci. and Tech., Vietnam)

    This paper presents the design and simulation evaluation of a self-contained

    submersion robot that mimics the actual flexible locomotion of American knifefish.

    First, a prototype of the bio-inspired submersion robot with a single undulating fin

    running along the length of the robot is developed. This undulating fin is a

    segmental fin comprised of sixteen fin rays that produce sinusoidal waves to

    propel the robot. Then, a system modeling of the robot is established to investigate

    the kinematics of undulating propulsion. A feedback linearization controller is

    employed to achieve the undulating propulsion velocity. The simulation results

    demonstrate that the developed prototype of the bio-inspired submersion robot can

    realize the desired thrust and velocity by the means of the undulating fin

    propulsion.

    The paper has developed optimal trajectory planning for the object manipulated

    by two robot arms collaborate with each other. The object's trajectory that

    includes motions along X and Y axes, and object rotation are chosen to be fifth-

    order polynomial type. In order to determine the polynomial coefficients,

    Genetic Algorithm (GA) based optimization is done with robot kinematic and

    dynamic constraints are considered. Difference from other previous research that

    use inverse dynamics to calculate input torque, in this paper, the input torque is

    calculated as controller output that is the same as practical robot system. Finally,

    simulation works on Matlab-Simulink have been carried out to reconfirm the

    accuracy and the effectiveness of the designed trajectory.

    FriB01-03 FriB01-04

    Developing Robotic System for Harvesting Pineapples

    Comparing the Results of Applying DE, PSO and Proposed Pro

    DE, Pro PSO Algorithms for Inverse Kinematics Problem of a 5-

    DOF Scara Robot

    Nguyen Pham Thuc Anh (Hanoi Univ. of Sci. and Tech., Vietnam)

    Son Hoang and Duong Van Tai (Vietnam National Univ. of Forestry, Vietnam)

    Bui Le Cuong Quoc (Vocational School of Binhthuan Province, Vietnam)

    Thanh-Trung Nguyen, Van-Huy Nguyen and Xuan-Huong Nguyen

    (Hanoi Univ. of Sci. and Tech., Vietnam)

    This paper develops a robotic system to harvest pineapple autonomously. The

    system contains a machine vision unit, two robotic manipulators mounted on a

    platform, custom end-effectors, and an image-based harvesting control unit. The

    manipulators with Gantry 3DOF PPP configuration are geometrically optimized to

    move the end-effectors approaching pineapples. Each end-effector is actuated by

    pneumatic actuator and equipped with a cage-shaped gripper to fix the selective

    pineapple inside and a cutting device to cut its stalk. YOLOv3 approach is

    implemented for detecting and recognizing pineapple fruits that meet requirements

    for harvest. The experiment results demonstrate the success of pineapple

    recognition with 90.82% mAP. The 3D position of the recognized pineapples will

    be calculated and sent to the control system. The control system, including an

    industrial computer communicating with PLCs to conducts the manipulators and

    end-effectors to approach and d the recognized pineapples. The complete system

    has been tested on the experimental field- model. The success rate of pineapple

    harvesting is 95.55% and the average time is 12 seconds per one fruit. In the

    future, this system will be improved for automatic harvesting in real pineapple

    fields.

    In this research, the Differential Evolution (DE) and Particle Swarm

    Optimization (PSO) algorithms as well as the Proposed DE and PSO (Pro DE

    and Pro PSO) Algorithms with searching space improvements were applied to

    solve the Inverse Kinematic (IK) problem of 5 Degree of Freedoms (DOF)

    Scara robot. These algorithms were tested with two different scenarios for the

    motion of the manipulator ’ s end-effector. The 1st scenario uses one hundred

    randomly selected in the workspace of the robot, while the 2nd scenario also use

    100 points belong to a spline trajectory in working space . These algorithms

    were compared by the execution time, the end-effector position error, the

    required number of generations and joints variable values.The results showed

    that the DE and Pro DE could be effectively used for the IK solution of the

    manipulator.

    FriB01-05

    Intelligent Control Method of Heating Process including Model

    Prediction and Climate Compensation

    Chen-xi Ju, Ping Jiang and Shi Li (Univ. of Jinan, China)

    This paper takes the intelligent optimization control of the heating process as the

    technological background. Not only analyzes the shortcomings of the existing

    control strategies, but alse proposes and establishes a model predictive control

    strategy based on RBF neural network. In this paper, the mechanism model is used

    instead of the actual building, and the RBF neural network model is used as the

    predictive model. Furthermore, the control strategy includes the prediction of

    future interference and the feedback of indoor real-time temperature. This paper

    realizes the improvement of the traditional algorithm, improves the control effect,

    and finally reduces the energy consumption in the heating process while improving

    the comfort of thermal users.

    Regular Session 1Design and Control on Robotic Systems Ⅱ

  • Vietnam Time (GMT+7)

    15:30 - 17:10, Friday, December 11, 2020Chair: Masami IWASE (Tokyo Denki Univ., Japan)

    FriA02, Room 1 Co-Chair: Changan Jiang (Osaka Inst. of Tech., Japan)

    FriA02-01 FriA02-02

    Development of a Forest Inventory System by Multicopter Flying

    in ForestDevelopment of Myoelectric Prostheses with Elbow Joint

    Jotaro Suzuki and Masami Iwase (Tokyo Denki Univ., Japan)Yusaku Takada, Shotaro Nakamura, Sakie Morioka and Masami Iwase

    (Tokyo Denki Univ., Japan)

    The purpose of this study is to develop a forest inventory system using a

    multicopter flying in the forest. In order to achieve this purpose, it is necessary to

    realize collision avoidance with trees and to estimate the attribute of tree

    information by 3D shape mapping by Simultaneous Localization And

    Mapping(SLAM). The ”Cartographer” SLAM system generates a 3D shape map.

    The thickness of the tree can be estimated based on the point cloud data obtained

    by the system. By extracting the point cloud data of each tree from the

    measurement data, and applying the proposed methodology to them, the trunk

    thickness has been estimated within ±2 cm error in 7 of the 8 trees.

    The purpose of this study is to develop a myoelectric prosthesis that can move

    the elbow joint arbitrarily. The elbow joint angle intended by the user is

    estimated from the myoelectric potential, and the elbow joint prosthesis follows

    the angle to achieve voluntary and responsiveness. The upper limb

    musculoskeletal model is used for this estimation. In the musculoskeletal model,

    the myoelectric potential of the upper arm during elbow joint movement is input

    and the elbow joint angle is output, and the effectiveness of the elbow joint

    angle estimation method using this model is experimentally verified. In order to

    verify the effectiveness of the actual machine, a motor-driven elbow joint

    mechanism is manufactured and implemented.

    FriA02-03 FriA02-04

    Development of Powered Wheelchair Expanding Range of

    Independent Activities of Physically-handicapped Person

    Near Boundary Control of Automotive Engine Using Machine

    Learning

    Keitaro Kaneta, Masami Iwase and Nobutsuna Endo (Tokyo Denki Univ., Japan) Sho Fujiwara, Masami Iwase and Yasuyuki Satoh (Tokyo Denki Univ., Japan)

    In this research, we aim to develop a powered wheelchair expanding the range of

    independent activities for a physically-handicapped person. For this purpose, in

    this paper, we discuss the specifications of such a wheelchair. Its power train and

    drive unit are designed to satisfy the specifications. Fur-thermore, the powered

    mechanism controlling seat position and attitude is also investigated. As a result, a

    prototype miniature model has been produced to verify the availability of the

    proposed wheelchair system.

    We aim to develop a control method for an automotive engine to operate inside

    the boundary that present sbetween the admissible and violated operation

    domain. These boundaries can be represented by a mathematical model. For

    those boundaries, we design a near-boundary control using State-Dependent

    Riccati Equation, which performs to make the engine work to satisfy the driver

    demand when the engine operates inside the admissible zone, and which

    performs to make the engine not exceed the boundaries when the driver demand

    indicates inside the violated zone. Such a controller requires high computational

    performance so that it is practically impossible to be implemented into a real

    machine. In this paper, a deep neural network is introduced to mimic the

    behavior of the predesigned near-boundary control, which can work with a

    much-reduced computational load.

    FriA02-05

    Development of Powered Wheelchair Expanding Reach of User

    Atsushi Suyama, Masami Iwase and Nobutsuna Endo

    (Tokyo Denki Univ., Japan)

    The purpose of this study is to realize a powered wheelchair that expands the

    reach of a wheelchair user to improve his/her quality of life. In this research, it is

    mainly necessary to manufacture its carrosserie, to design control system, and to

    verify the integrated system. The carrosserie is designed to expand the reach of a

    rider by transforming itself. The physical model of the wheelchair is derived. The

    model is used to design the control system.

    Developments of Novel Methodologies and Technique Ⅰ

    Regular Session 2

  • Vietnam Time (GMT+7)

    15:30 - 17:10, Friday, December 11, 2020Chair: Yanfeng Wu (Henan Univ. of Sci. and Tech., China)

    FriB02, Room 2 Co-Chair: Yongping Dan (Zhongyuan Univ. of Tech., China)

    FriB02-01 FriB02-02

    A New Feedback Narrowband Active Noise Control System with

    Online Secondary-path Modeling Based on Adaptive Notch

    Filtering

    Noise Reduction Method based on Autocorrelation for

    Threshold-based Heartbeat Detection

    X. Tan (Prefectural Univ. of Hiroshima, Japan)

    Y. Ma (Jiangnan Univ., China)

    Y. Xiao (Prefectural Univ. of Hiroshima, Japan)

    L. Ma and K. Khorasani (Concordia Univ., Canada)

    Ziti Fariha Mohd Apandi, Ryojun Ikeura Soichiro Hayakawa and Shigeyoshi

    Tsutsum (Mie Univ., Japan)

    Narrowband active noise control (ANC, NANC) systems have been developed for

    attenuating noises that are generated by rotating machines such as motors, cutting

    machines, diesel engines, fans, etc. The conventional feedforward NANC systems

    adopt a non-acoustic sensor to detect and extract the noise signal frequencies for

    creating the reference sine and cosine waves, leading to high implementation cost

    as well as performance degradation due to frequency mismatch (FM). In this

    paper, we propose a new efficient feedback NANC system where an adaptive

    notch filter bank is utilized to construct the reference sinusoidal signals for the

    ANC system controller that consists of multiple two-weight magnitude/phase

    adjusters (MPA). The proposed system is also equipped with an online secondary-

    path modeling (SPM) subsystem that is capable of compensating the secondary-

    path drift. Extensive simulations are conducted to confirm the effectiveness of the

    proposed system.

    Detecting heartbeats is more challenging in an ambulatory condition due to a

    higher level of noise and artefacts compared to heartbeats recorded in a hospital

    setting. To reduce false detection and improve the performance of threshold-

    based beat detection algorithm, an autocorrelation method for noise reduction

    within noisy electrocardiogram (ECG) signals is presented in this paper. The

    proposed method contained two components: autocorrelation and refining

    process. The proposed work used the autocorrelation method to generate

    periods of heartbeats to refine and identify the correct QRS complex and remove

    the noise in the candidate QRS complex, thus reducing incorrect detections.

    Results from the experiment showed that the proposed method was capable of

    reducing the noise and improving the beat detection performance in noisy

    signals.

    FriB02-03 FriB02-04

    Assessment of the Design Complexity of Modular Automated

    Assembly System

    Global Stability Criterion of Memristor-based Recurrent Neural

    Networks with Time Delays

    Yixiong Feng, Chuan He and Jianrong Tan (Zhejiang Univ., China)

    Hao Zheng (Beihang Univ., China)

    Yicong Gao (Zhejiang Univ., China)

    Wudai Liao, Chaochuan Zhang, Jinhuan Chen, Xiaosong Liang and Jun Zhou

    (Zhongyuan Univ. of Tech., China)

    Currently the configurable standardized modular system is regarded as a flexible

    solution that enables enterprises to rapidly respond to changes caused by product

    variants. The design process is guided by predefined function-based module types

    and constraint by a chosen system architecture for the given product domain. In

    order to find the system with minimum investment cost and best quality

    performance, assessing complexity of designing assembly system at the early

    design stage is an essential step to guide designer in creating assembly concept for

    the least complexity. This paper offers a quantifying measurement of complexity in

    design with respect to the representation of modular automated assembly system.

    A traditional rear drive unit in the automotive industry is used to demonstrate the

    application of the developed methodology in this study.

    The paper investigates the uniform asymptotic stability of memristor-based

    recurrent neural network with time delays. Uniqueness of the equilibrium point

    of memristorbased neural networks is proved by constructing the Lyapunov

    energy function, employing homeomorphism mapping principle and differential

    inclusion. Sufficiency criterion based on Mmatrix is proposed to confirm the

    equilibrium is global asymptotic stable. The deduced criterion extends the result

    based on M-matrix, which has certain robustness for different time delays and

    activation functions. According to the physical parameters of the system.

    Numerical analysis and simulation results are presented to demonstrate

    effectiveness of the criterion.

    FriB02-05

    Design of Anti-glare Device for Freeway with Power Generation

    Using a Vertical Axis Wind Turbine

    Kai Tian and Yanfeng Wu (Henan Univ. of Sci. and Tech., China)

    In this paper, a novel anti-glare device for vertical axis wind power generation for

    freeway is designed. Firstly, the structure is designed based on a bionic airfoil

    vertical axis wind turbine (VAWT), the parameters are determined to meet the

    national freeway anti-glare board requirements. Secondly, the flow field

    characteristic of the device is analyzed by computational fluid dynamics (CFD)

    simulation, and the structure is further optimized. In addition, the scheme of group

    generation using this device is proposed. Detect the performance parameters of the

    prototype, further optimization was carried out, and finally the structure and

    parameters of the device were determined. Finally, the prototype is tested on a

    reflux wind tunnel test bed, its energy efficiency and other performance are

    verified by experiments.

    Regular Session 2Developments of Novel Methodologies and Technique Ⅱ

  • Vietnam Time (GMT+7)

    8:30 - 10:10, Saturday, December 12, 2020Chair: Vo Duy Thanh (Hanoi Univ. of Sci. and Tech., Vietnam)

    SatA03, Room 1 Co-Chair: Nguyen Danh Hu (Hanoi Univ. of Sci. and Tech., Vietnam)

    SatA03-01 SatA03-02

    An Improved Error Interpolator of Milling CNC Controller Based

    on FPGA

    Kinematic Model Reference Adaptive Controller for a Lurking

    Type Automated Guided Vehicle Using Traction Drive Unit

    Hoang Giang Tran (Hiep Phat mechatronic Co. LTD, Vietnam)

    Khac Sinh Le (Hochiminh City Univ. of Food Industry, Vietnam)

    Thanh Luan Bui (Hochiminh City Univ. of Tech., Vietnam)

    Huy Hung Nguyen (Saigon Univ., Vietnam)

    Van Tu Duong (HCMUT, VNU-HCM, Nguyen Tat Thanh Univ., Vietnam

    Huy Hung Nguyen ( HCMUT, VNU-HCM, Saigon Univ., Vietnam)

    Tan Tien Nguyen (HCMUT, VNU-HCM, Vietnam)

    Trong Trung Nguyen (Hochiminh city Univ. of Transport Inst. of Electronics,

    Informatics and Automation, Vietnam)

    Van Khoi Vu and Hoang Long Phan (HCMUT, VNU-HCM, Vietnam)

    Computer Numerical Control (CNC) machine tools are now moving towards high

    precision, high speed and complex functional machining. In this paper, an

    improved minimum error interpolation algorithm for general curves generation in

    CNC controller is introduce. The algorithm is applicable for the curves of linear

    and circular. The proposed algorithm is realized on a field programmable gate

    array with Verilog HDL language and veriflied on three-axis milling CNC

    controller using FPGA. The experiment results are presented to demonstrate the

    effectiveness of the proposed controller.

    This paper proposes an adaptive controller using model reference based on a

    kinematic model of a lurking type automated guided vehicle (AGV) using a

    traction drive unit. Firstly, a system description of AGV composited of a traction

    drive unit like a two-wheeled mobile robot and a tricycle mobile robot is

    introduced. Secondly, the configuration of AGV in the planar coordinate is

    analyzed to obtain a kinematic model. Thirdly, an adaptive controller is

    developed by using the kinematic model based on Lyapunov stability theory for

    controlling the position of the AGV. Finally, the effectiveness of the proposed

    controller is evaluated through simulation results.

    SatA03-03 SatA03-04

    Study on Designing and Manufacturing Coaxial Brussless DC

    Motor

    Discrete-time Quasi Sliding Mode Control of Single-phase T-

    type Inverters for Residential PV Applications

    Thien Phuc Tran (Hochiminh City Univ. of Tech., Vietnam)

    Truong Thuan Nguyen, Cong Toai Truong and Tan Tien Nguyen

    (HCMUT, VNU-HCM, Vietnam)

    Bao Binh Pho, Trong Minh Tran, Manh Linh Nguyen and Phuong Vu Hoang,

    (Hanoi Univ. of Sci. and Tech., Vietnam)

    In this paper, the design of a coaxial machine is proposed which is a debut for

    further applying on contrarotating propulsion system such as underwater vehicle,

    torpedo or even aerial vehicle. The coaxial machine comprises of two independent

    rotors to eliminate the differential mechanism, reduce the power consumption, the

    balance the react force and make the system more stable. A model-based

    controller is adopted to drive the coaxial machine to generate the thrust force and

    balance the react force while hovers the coaxial machine chassis. The effectiveness

    and reliability of coaxial motor are evaluated through simulation and experimental

    results.

    This research focuses on improving the performance of single-phase grid-

    connected DC/AC converters, which is intensively used in PV systems. First,

    the single-phase T-type topology which offers more voltage level than the

    conventional H-bridge is used to lower the total harmonic distortion (THD) of

    the output current. Second, the quasi-sliding mode control in combination with a

    lump disturbance compensation is used for the current control loop. This

    approach guarantees that the output current quickly tracks its reference in a few

    sampling cycles despite the existence of the modeling error. Finally, a DC bus

    voltage controller with a discrete-time notch filter that exactly extracts the

    average DC bus voltage from the second harmonic ripple is designed. The

    proper design of the notch filter plays a key role not only in the improvement of

    the DC bus voltage control-loop but also in the reduction of the overall THD of

    the line current. The validity of the proposed solution is verified by numerical

    simulation using Matlab/Simulink.

    SatA03-05

    A Combination of Distributed Delays Shapers and ADRC for

    Gantry Crane Control

    Trong Hieu Do, Minh Duc Duong, Manh Linh Nguyen and Quy Thinh Dao

    (Hanoi Univ. of Sci. and Tech., Vietnam)

    In order to suppress payload oscillation, input shaping technique in combination

    with traditional PID controller is a popular practical approach. However, its

    performance is easily degraded by disturbance and parameter uncertainty. In this

    paper, for improving the performance of the crane system, ADRC in combination

    with distributed input shaping is proposed. The ADRC is used to reject

    disturbance while keeping the simplicity in design as PID controller, and

    distributed input shaping plays the role of vibration suppression. Simulations show

    the effectiveness of the proposed approach.

    Regular Session 3Advanced Mechatronic Systems and Its Applications Ⅰ

  • Vietnam Time (GMT+7)

    8:30 - 10:10, Saturday, December 12, 2020Chair: Zhihong Man (Swinburne Univ. of Tech., Australia)

    SatB03, Room 2 Co-Chair: Hong Wang (Oak Ridge National Laboratory, USA )

    SatB03-01 SatB03-02

    Collaborative Fault Tolerant Control of NonSignalized

    Intersections for Connected and Autonomous Vehicles

    Optimizing Linear Generator Design’s Parameters for Output

    Power Using Mix Numerical and Analytical Technique

    Hong Wang (Oak Ridge National Laboratory, USA)

    Do Huy Diep and Nguyen Van Duc

    (Univ. of Engineering and Tech., VNU Hanoi, Vietnam)

    Nguyen Xuan Quynh (Hanoi Univ. of Sci. and Tech., Vietnam)

    Dang The Ba (Univ. of Engineering and Tech., VNU Hanoi, Vietnam)

    With the potential of increased penetration of connected and autonomous vehicles

    (CAVs), intersectional signal control faces new challenges in terms of its operation

    and implementation. One possibility is to fully make use of the communication

    capabilities of CAVs so that intersectional signal control can be realized by CAVs

    alone – this leads to nonsignalized intersectional operation for traffic networks in

    urban areas. In this paper, the state-of-the-art on collaborative fault tolerant control

    schemes for complex systems will be briefly described. This is then followed by

    the formulation of operational fault tolerant control that realizes the collaborative

    fault tolerance functionality at CAVs operational level in response to possible

    individual vehicle faults, where detailed modelling using vehicle movement

    dynamics will be described together with the construction of fast fault diagnosis

    and a collaborative fault tolerant control algorithm. A simple example will be given

    as well to demonstrate the proposed algorithm together with the discussions on

    other issues such as randomness of the system, communication errors and full

    energy consideration. These leads to several future directions of the research for

    the traffic flow control of non-signalized intersections with 100% penetration of

    CAVs.

    Permanent magnet linear devices have wide applications in various fields. In the

    field of wave energy conversion, the use of linear generator has earlier been

    regarded as difficult and uneconomical due to technical problems. Researches

    on wave energy converters have been carried out, but the conversion efficiency

    is still limited. Studies of the magnetic field of a linear generator have shown the

    ability to significantly improve performance when using the Halbach array

    magnets structure. In this study, a mixed numerical and analytical technique is

    presented to optimize linear generator design's parameters for wave energy

    converter power performance. At first, numerical method used for maximize of

    magnetic field's strength inside linear generator. Then, a matlab-simulink

    program use the simulated magnetic field result to optimize the power of the

    linear generator.

    SatB03-03 SatB03-04

    Realization of Autonomous Drive Control of Power-assisted

    BicycleThe Reliability Analysis of Welding Robots Based on Fault Tree

    Tats