Adaptive backstepping controller design for stochastic jump systems

Yuanqing Xia*, Mengyin Fu, Peng Shi, Zhaojing Wu, Jinhui Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

148 Citations (Scopus)

Abstract

In this technical note, we improve the results in a paper by Shi et al., in which problems of stochastic stability and sliding mode control for a class of linear continuous-time systems with stochastic jumps were considered. However, the system considered is switching stochastically between different subsystems, the dynamics of the jump system can not stay on each sliding surface of subsystems forever, therefore, it is difficult to determine whether the closed-loop system is stochastically stable. In this technical note, the backstepping techniques are adopted to overcome the problem in a paper by Shi et al. The resulting closed-loop system is bounded in probability. It has been shown that the adaptive control problem for the Mar- kovian jump systems is solvable if a set of coupled linear matrix inequalities (LMIs) have solutions. A numerical example is given to show the potential of the proposed techniques.

Original languageEnglish
Article number5332252
Pages (from-to)2853-2859
Number of pages7
JournalIEEE Transactions on Automatic Control
Volume54
Issue number12
DOIs
Publication statusPublished - Dec 2009

Keywords

  • Adaptive control
  • Backstepping control
  • Linear matrix inequality
  • Markovian jump system
  • Stochastic stability

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