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INTRODUCTION to SWITCHED SYSTEMS ; STABILITY under ARBITRARY SWITCHING Daniel Liberzon Coordinated Science Laboratory and Dept. of Electrical & Computer Eng., Univ. of Illinois at Urbana-Champaign Workshop, Herzliya, Israel, June 1, 2009
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INTRODUCTION to SWITCHED SYSTEMS ; STABILITY under ARBITRARY SWITCHING

Jan 10, 2016

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INTRODUCTION to SWITCHED SYSTEMS ; STABILITY under ARBITRARY SWITCHING. Daniel Liberzon. Coordinated Science Laboratory and Dept. of Electrical & Computer Eng., Univ. of Illinois at Urbana-Champaign. IAAC Workshop, Herzliya, Israel, June 1, 2009. SWITCHED and HYBRID SYSTEMS. - PowerPoint PPT Presentation
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Page 1: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

INTRODUCTION to SWITCHED SYSTEMS ;

STABILITY under ARBITRARY SWITCHING

Daniel Liberzon

Coordinated Science Laboratory andDept. of Electrical & Computer Eng.,Univ. of Illinois at Urbana-Champaign

IAAC Workshop, Herzliya, Israel, June 1, 2009

Page 2: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

electric circuit

SWITCHED and HYBRID SYSTEMS

Hybrid systems combine continuous and discrete dynamics

Which practical systems are hybrid?

Which practical systems are not hybrid?

More tractable models of continuous phenomena

thermostat

stick shift walking

cell division

Page 3: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

MODELS of HYBRID SYSTEMS

[Van der Schaft–Schumacher ’00] [Proceedings of HSCC]

continuous

discrete[Nešić–L ‘05]

Page 4: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

SWITCHED vs. HYBRID SYSTEMSSwitched system:

• is a family of systems

• is a switching signal

Switching can be:

• State-dependent or time-dependent• Autonomous or controlled

Details of discrete behavior are “abstracted away”

: stability and beyondProperties of the continuous state

Discrete dynamics classes of switching signals

Page 5: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

STABILITY ISSUE

unstable

Asymptotic stability of each subsystem is

not sufficient for stability

Page 6: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

TWO BASIC PROBLEMS

• Stability for arbitrary switching

• Stability for constrained switching

Page 7: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

TWO BASIC PROBLEMS

• Stability for arbitrary switching

• Stability for constrained switching

Page 8: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

GLOBAL UNIFORM ASYMPTOTIC STABILITY

GUAS is: Lyapunov stability

plus asymptotic convergence

GUES:

Page 9: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

quadratic is GUES

where is positive definite

is GUAS if (and only if) s.t.

COMMON LYAPUNOV FUNCTION

Page 10: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

OUTLINE

Stability criteria to be discussed:

• Commutation relations (Lie algebras)

• Feedback systems (absolute stability)

• Observability and LaSalle-like theorems

Common Lyapunov functions will play a central role

Page 11: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

COMMUTING STABLE MATRICES => GUES

For subsystems – similarly

(commuting Hurwitz matrices)

Page 12: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

...

quadratic common Lyapunov function[Narendra–Balakrishnan ’94]

COMMUTING STABLE MATRICES => GUES

Alternative proof:

is a common Lyapunov function

Page 13: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

Nilpotent means sufficiently high-order Lie brackets are 0

NILPOTENT LIE ALGEBRA => GUES

Lie algebra:

Lie bracket:

Hence still GUES [Gurvits ’95]

For example:

(2nd-order nilpotent)

In 2nd-order nilpotent case

Recall: in commuting case

Page 14: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

SOLVABLE LIE ALGEBRA => GUES

Example:

quadratic common Lyap fcn diagonal

exponentially fast

[Kutepov ’82, L–Hespanha–Morse ’99]

Larger class containing all nilpotent Lie algebras

Suff. high-order brackets with certain structure are 0

exp fast

Lie’s Theorem: is solvable triangular form

Page 15: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

SUMMARY: LINEAR CASE

Lie algebra w.r.t.

Assuming GES of all modes, GUES is guaranteed for:

• commuting subsystems:

• nilpotent Lie algebras (suff. high-order Lie brackets are 0)e.g.

• solvable Lie algebras (triangular up to coord. transf.)

• solvable + compact (purely imaginary eigenvalues)

No further extension based on Lie algebra only [Agrachev–L ’01]

Quadratic common Lyapunov function exists in all these cases

Page 16: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

SWITCHED NONLINEAR SYSTEMS

Lie bracket of nonlinear vector fields:

Reduces to earlier notion for linear vector fields(modulo the sign)

Page 17: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

SWITCHED NONLINEAR SYSTEMS

• Linearization (Lyapunov’s indirect method)

Can prove by trajectory analysis [Mancilla-Aguilar ’00]

or common Lyapunov function [Shim et al. ’98, Vu–L ’05]

• Global results beyond commuting case – ?

[Unsolved Problems in Math. Systems & Control Theory ’04]

• Commuting systems

GUAS

Page 18: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

SPECIAL CASE

globally asymptotically stable

Want to show: is GUAS

Will show: differential inclusion

is GAS

Page 19: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

OPTIMAL CONTROL APPROACH

Associated control system:

where

(original switched system )

Worst-case control law [Pyatnitskiy, Rapoport, Boscain, Margaliot]:

fix and small enough

Page 20: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

MAXIMUM PRINCIPLE

is linear in

at most 1 switch

(unless )

GAS

Optimal control:(along optimal trajectory)

Page 21: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

GENERAL CASE

GAS

Want: polynomial of degree

(proof – by induction on )

bang-bang with switches

[Margaliot–L ’06, Sharon–Margaliot ’07]

Page 22: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

REMARKS on LIE-ALGEBRAIC CRITERIA

• Checkable conditions

• In terms of the original data

• Independent of representation

• Not robust to small perturbations

In any neighborhood of any pair of matricesthere exists a pair of matrices generating the entire Lie algebra [Agrachev–L ’01]

How to measure closeness to a “nice” Lie algebra?

Page 23: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

FEEDBACK SYSTEMS: ABSOLUTE STABILITY

Circle criterion: quadratic common Lyapunov function

is strictly positive real (SPR):

For this reduces to SPR (passivity)

Popov criterion not suitable: depends on

controllable

Page 24: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

FEEDBACK SYSTEMS: SMALL-GAIN THEOREM

controllable

Small-gain theorem:

quadratic common Lyapunov function

Page 25: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

OBSERVABILITY and ASYMPTOTIC STABILITY

Barbashin-Krasovskii-LaSalle theorem:

(observability with respect to )

observable=> GAS

Example:

is GAS if s.t.

• is not identically zero along any nonzero solution

• (weak Lyapunov function)

Page 26: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

SWITCHED LINEAR SYSTEMS [Hespanha ’04]

Theorem (common weak Lyapunov function):

• observable for each

To handle nonlinear switched systems and

non-quadratic weak Lyapunov functions,need a suitable nonlinear observability notion

Switched linear system is GAS if

• infinitely many switching intervals of length

• s.t. .

Page 27: INTRODUCTION  to  SWITCHED  SYSTEMS ; STABILITY  under  ARBITRARY SWITCHING

SWITCHED NONLINEAR SYSTEMS

Theorem (common weak Lyapunov function):

• s.t.

Switched system is GAS if

• infinitely many switching intervals of length

• Each system

is norm-observable:

[Hespanha–L–Sontag–Angeli ’05]