DocumentCode :
2238327
Title :
Finite-time and practical stability of a class of stochastic dynamical systems
Author :
Michel, Anthony N. ; Hou, Ling
Author_Institution :
Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA
fYear :
2008
fDate :
9-11 Dec. 2008
Firstpage :
3452
Lastpage :
3456
Abstract :
In practice, one is not only interested in qualitative characterizations provided by Lyapunov and Lagrange stability, but also in quantitative information concerning system behavior, including estimates of trajectory bounds over finite and infinite time intervals. This type of information has been ascertained in a systematic manner using the notions of finite-time stability and practical stability. In the present paper we generalize some of the existing finite-time stability and practical stability results for deterministic dynamical systems determined by ordinary differential equations to dynamical systems determined by an important class of stochastic differential equations. We consider two types of stability concepts: finite-time and practical stability in the mean and in the mean square. We demonstrate the applicability of our results by means of several examples.
Keywords :
Lyapunov methods; differential equations; stability; stochastic systems; Lagrange stability; Lyapunov stability; finite-time stability; mean square; ordinary differential equations; practical stability; stochastic dynamical systems; Cloud computing; Control systems; Differential equations; Indium tin oxide; Lagrangian functions; Lyapunov method; Random variables; Stability; State estimation; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location :
Cancun
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3123-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2008.4738705
Filename :
4738705
Link To Document :
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