DocumentCode :
3537171
Title :
Discrete-time stochastic control systems: Examples of robustness to strictly causal perturbations
Author :
Grammatico, Sergio ; Subbaraman, A. ; Teel, A.R.
Author_Institution :
Autom. Control Lab., ETH Zurich, Zurich, Switzerland
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
6403
Lastpage :
6408
Abstract :
Robust stability for discrete-time stochastic systems employing possibly discontinuous control laws is the focus of this paper. Through novel examples, we illustrate the fact that the existence of a continuous stochastic Lyapunov function implies robustness of stability to sufficiently small, state-dependent, strictly causal, worst-case perturbations, irrespective to the continuity of the stabilizing control law. We emphasize the role of strict causality through an example for which a continuous stochastic Lyapunov function is not sufficient for robustness to arbitrarily small worst-case perturbations, which are not strictly causal. Finally we illustrate our main result for a stochastic control system which admits a continuous Lyapunov function, but associated with a necessarily discontinuous control law.
Keywords :
Lyapunov methods; causality; continuous systems; discrete time systems; perturbation techniques; piecewise linear techniques; robust control; stochastic systems; continuous stochastic Lyapunov function; discontinuous control laws; discrete-time stochastic control systems; piecewise linear control law; robust stability; robustness; stabilizing control law continuity; state-dependent perturbation; strict causality; strictly causal perturbation; sufficiently small perturbation; worst-case perturbation; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6760902
Filename :
6760902
Link To Document :
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