Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/113843
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Type: Journal article
Title: Sliding mode control of singular stochastic Markov jump systems
Author: Feng, Z.
Shi, P.
Citation: IEEE Transactions on Automatic Control, 2017; 62(8):4266-4273
Publisher: IEEE
Issue Date: 2017
ISSN: 0018-9286
1558-2523
Statement of
Responsibility: 
Zhiguang Feng and Peng Shi
Abstract: An investigation has been made into the sliding mode control (SMC) problem for singular stochastic Markov systems (SSMSs) in this paper. By using replacement of matrix variables, a newmean square admissibility criterion of SSMSs is proposed first. Based on this admissibility criterion, the desired state-feedback controller is designed to guarantee the closed-loop system to be mean-square admissible. Then, the obtained results given in the form of strict linear matrix inequalities are applied to solve SMC problem of SSMSs. In order to illustrate the workability and applicability of the theoretic results developed, numerical examples are provided.
Keywords: Singular systems; sliding mode control (SMC); stochastic markov systems
Description: Date of publication March 24, 2017
Rights: © 2017 IEEE
DOI: 10.1109/TAC.2017.2687048
Grant ID: 61304063
U1509217
http://purl.org/au-research/grants/arc/DP170102644
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Electrical and Electronic Engineering publications

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