Research Repository

Adaptive Backstepping Controller Design for Stochastic Jump Systems

Xia, Yuanqing and Fu, Mengyin and Shi, Peng and Wu, Zhaojing and Zhang, Jinhui (2009) Adaptive Backstepping Controller Design for Stochastic Jump Systems. IEEE Transactions on Automatic Control, 54 (12). pp. 2853-2859. ISSN 0018-9286

[img] Text
(4706)Article_-_Adaptive_Backsteppning_-_2009-TAC-XFSWZ.pdf

Download (298kB)

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 Markovian 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.

Item Type: Article
Uncontrolled Keywords: ResPubID17666, adaptive control, backstepping control, linear matrix inequality, Markovian jump system, stochastic stability
Subjects: SEO Classification > 970109 Expanding Knowledge in Engineering
Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
FOR Classification > 0199 Other Mathematical Sciences Information Systems
Depositing User: VUIR
Date Deposited: 10 Jun 2011 02:35
Last Modified: 15 Dec 2014 22:55
URI: http://vuir.vu.edu.au/id/eprint/4706
DOI: 10.1109/TAC.2009.2033131
ePrint Statistics: View download statistics for this item
Citations in Scopus: 35 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar