DocumentCode :
2470711
Title :
Almost sure stability of stochastic linear systems with ergodic parameters: an average contractivity criterion
Author :
Bolzern, Paolo ; Colaneri, Patrizio ; Nicolao, Giuseppe De
Author_Institution :
Dipt. di Elettronica e Informazione, Politecnico di Milano
fYear :
2006
fDate :
13-15 Dec. 2006
Firstpage :
950
Lastpage :
954
Abstract :
This paper deals with the notion of almost sure stability for linear stochastic systems whose dynamic matrix depends on an ergodic process. It is shown that such systems are exponentially almost surely stable if and only if their transition matrix is averagely contractive over a finite, yet unknown, time interval. In order to test almost sure stability, an efficient computational procedure based on a Monte Carlo strategy is proposed. The applicability of the proposed method is illustrated by means of a numerical example
Keywords :
Monte Carlo methods; asymptotic stability; linear systems; matrix algebra; stochastic systems; Monte Carlo strategy; contractivity criteria; dynamic matrix; ergodic parameter; stochastic linear system; system stability; Control systems; Convergence; Linear systems; Monte Carlo methods; Page description languages; Stability criteria; Stochastic resonance; Stochastic systems; Testing; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
Type :
conf
DOI :
10.1109/CDC.2006.377061
Filename :
4177376
Link To Document :
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