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Stabilization of discrete-time stochastic systems via sliding mode technique

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This paper considers the problem of sliding mode control for discrete-time stochastic systems with parameter uncertainties and state-dependent noise perturbation. An integral-like sliding surface is chosen and a discrete-time sliding mode controller is designed. The key feature in this work is that both the reachability of the quasi-sliding mode and the stability of system states are simultaneously analyzed, due to the existence of state-dependent noise perturbation. By utilizing an Lyapunov function involving system states and sliding mode variables, the sufficient condition for reachability is obtained. Finally, numerical simulation results are provided. © 2011 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)1497-1508
JournalJournal of the Franklin Institute
Volume349
Issue number4
DOIs
Publication statusPublished - May 2012

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