On robust stabilization of delayed impulsive systems subject to parametric uncertainties

Wu-Hua Chen, Xing Zheng Wei

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

Impulsive systems allowing for certain instantaneous changes of the system state in addition to continuous dynamics are instrumental in describing a number of real-world applications. This paper is devoted to study of robust stability and robust stabilization of delayed impulsive systems subject to parametric uncertainties. The impulsive systems under study are classi.ed into three types in terms of combinations of continuous dynamics with impulsive effects, namely, (1) stable continuous dynamics combined with destabilizing impulsive effects, (2) stabilizing continuous dynamics combined with stabilizing impulsive effects, and (3) unstable continuous dynamics combined with stabilizing impulsive effects. Under the assumption of time-varying but norm-bounded parametric uncertainties, Lyapunov function and Razumikhin-type techniques are applied to establish delay-independent sufficient conditions for the problems of robust stability and robust stabilization of impulsive systems. These stability criteria expressed in linear matrix inequalities are readily checkable. The usefulness of the theoretical findings is validated by numerical results.

Original languageEnglish
Title of host publicationProceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
Pages2929-2934
Number of pages6
DOIs
Publication statusPublished - 2008
Event7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China
Duration: 25 Jun 200827 Jun 2008

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference7th World Congress on Intelligent Control and Automation, WCICA'08
Country/TerritoryChina
CityChongqing
Period25/06/0827/06/08

Fingerprint

Dive into the research topics of 'On robust stabilization of delayed impulsive systems subject to parametric uncertainties'. Together they form a unique fingerprint.

Cite this