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Exponential stability and H∞ performance for a class of uncertain impulsive stochastic systems

  • Ya Jun Li*
  • , Fei Qi Deng
  • *Corresponding author for this work
  • South China University of Technology
  • Shunde Polytechnic Foshan 528300

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Sufficient conditions of the mean-square exponential stability and stochastic robust stabilization are investigated for a class of uncertain impulsive stochastic systems by means of stochastic Lyapunov stability theory and Ito ? differential rule. All results in this paper are expressed in terms of linear matrix inequalities, and a numerical example is presented to illustrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Machine Learning and Cybernetics
PublisherIEEE Computer Society
Pages3667-3672
Number of pages6
ISBN (Print)9781424437030
DOIs
StatePublished - 2009
Externally publishedYes
Event8th International Conference on Machine Learning and Cybernetics, ICMLC 2009 - Baoding, China
Duration: 12 Jul 2009 → 15 Jul 2009

Publication series

NameProceedings of the 2009 International Conference on Machine Learning and Cybernetics
Volume6

Conference

Conference8th International Conference on Machine Learning and Cybernetics, ICMLC 2009
Country/TerritoryChina
CityBaoding
Period12/07/09 → 15/07/09

Keywords

  • Impulsive stochastic system
  • Linear matrix inequality (LMI)
  • Mean-square exponential stability
  • Robustly stochastically stable

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