Title
Stochastic input-to-state stability of switched stochastic nonlinear systems
Abstract
In this paper, global asymptotic stability in probability (GASiP) and stochastic input-to-state stability (SISS) for nonswitched stochastic nonlinear (nSSNL) systems and switched stochastic nonlinear (SSNL) systems are investigated. For the study of GASiP, the definition which we considered is not the usual notion of asymptotic stability in probability (stability in probability plus attractivity in probability); it can depict the properties of the system quantitatively. Correspondingly, based on this definition, some sufficient conditions are provided for nSSNL systems and SSNL systems. Furthermore, the definition of SISS is introduced and corresponding criteria are provided for nSSNL systems and SSNL systems. In the proof of the above results, to overcome the difficulties coming with the appearance of switching and the stochastic property at the same time, we generalize the past comparison principle and fully use the properties of the functions which we constructed. In terms of the average dwell-time of the switching laws, a sufficient SISS condition is obtained for SSNL systems. Finally, some examples are provided to demonstrate the applicability of our results.
Year
DOI
Venue
2012
10.1016/j.automatica.2012.06.058
Automatica
Keywords
Field
DocType
Stochastic systems,Nonlinear systems,Switched systems,Stochastic input-to-state stability,SISS-Lyapunov function
Mathematical optimization,Nonlinear system,Control theory,Exponential stability,Mathematics
Journal
Volume
Issue
ISSN
48
10
0005-1098
Citations 
PageRank 
References 
33
1.16
14
Authors
3
Name
Order
Citations
PageRank
Ping Zhao1402.39
Wei Feng2331.16
yongfeng kang346358.91