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