DocumentCode
1796
Title
Robust Stability and Boundedness of Nonlinear Hybrid Stochastic Differential Delay Equations
Author
Liangjian Hu ; Xuerong Mao ; Liguo Zhang
Author_Institution
Dept. of Appl. Math., Donghua Univ., Shanghai, China
Volume
58
Issue
9
fYear
2013
fDate
Sept. 2013
Firstpage
2319
Lastpage
2332
Abstract
One of the important issues in the study of hybrid stochastic differential delay equations (SDDEs) is the automatic control, with consequent emphasis being placed on the asymptotic analysis of stability and boundedness. In the study of asymptotic properties, the robust stability has received a great deal of attention. The theory of robust stability shows how much perturbation a given stable hybrid SDDE can tolerate so that its perturbed system remains stable. Almost all results so far on the robust stability require that the underlying SDDEs be either linear or nonlinear with linear growth condition. However, little is known on the robust stability of nonlinear hybrid SDDEs without the linear growth condition, which is one of the key topics in this paper. The other key topic is the robust boundedness. The aim here is to answer the question: how much perturbation can a given asymptotically bounded hybrid SDDE tolerate so that its perturbed system remains asymptotically bounded?
Keywords
asymptotic stability; nonlinear differential equations; robust control; singularly perturbed systems; stochastic processes; asymptotic properties; automatic control; boundedness asymptotic analysis; linear growth condition; nonlinear hybrid SDDE; nonlinear hybrid stochastic differential delay equation boundedness; perturbed system; robust boundedness; robust stability; stability asymptotic analysis; Asymptotic boundedness; Brownian motion; Markovian switching; exponential stability; generalized Itô´s formula; stochastic differential delay equations;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2013.2256014
Filename
6490346
Link To Document