Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/83495
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Type: Journal article
Title: Adaptive tracking for stochastic nonlinear systems with markovian switching
Author: Wu, Z.
Wang, J.
Shi, P.
Citation: IEEE Transactions on Automatic Control, 2010; 55(9):2135-2141
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Issue Date: 2010
ISSN: 0018-9286
1558-2523
Statement of
Responsibility: 
Zhao Jing Wu, Jun Yang, and Peng Shi
Abstract: The problem of the adaptive tracking for a class of stochastic nonlinear systems with stationary Markovian switching is considered in this note. An Ito formula is proposed for stochastic integral equations with an integral about martingale measure. An adaptive backstepping controller is designed such that the closed-loop system has a unique solution that is globally bounded in probability and L4-norm of the tracking error converges to an arbitrarily small neighborhood of zero. A simulation example demonstrates the efficiency of the proposed scheme.
Rights: © 2010 IEEE
RMID: 0020127963
DOI: 10.1109/TAC.2010.2051090
Appears in Collections:Electrical and Electronic Engineering publications

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