A new approach of stability analysis and stabilization for continuous-time Markov jump linear system with partly known transition probabilities

Shu Mei Shen, Mou Quan Shen, Ming Shun Wang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper considers the stability analysis and stabilization of continuous-time Markov jump linear systems(MJLSs) with partly known transition probabilities. According to the bounds of transition probabilities, the partly known transition probabilities considered cover the cases of known, unknown with known bounds and completely unknown. New sufficient conditions which can be applied to stability analysis and stabilization for the considered system are obtained in terms of LMIs. In the case that the transition probabilities are known, the results proposed are reduced to the existing ones. Finally, a numerical example verifies the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)875-880
Number of pages6
JournalKongzhi yu Juece/Control and Decision
Volume27
Issue number6
StatePublished - Jun 2012
Externally publishedYes

Keywords

  • Linear matrix inequalities
  • Markov jump linear systems
  • Parameter dependent Lyapunov function
  • Partly known transition probabilities

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