Journal
NEUROCOMPUTING
Volume 179, Issue -, Pages 118-125Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2015.11.071
Keywords
Stochastic system; Markovian jump; Sliding mode control; Mean-square exponential stability; Time-varying delays
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Funding
- Natural Science Foundation of China [61203054]
- Priority Academic Program Development of Jiangsu Higher Education Institutions
- Initial Research Fund of Highly Specialized Personnel from Jiangsu University [11JDG103]
- Open Foundation of Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education [MCCSE2014A01]
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The mean-square exponential stabilization problem of stochastic Markovian jump system subject to time-varying delays and uncertainties has been investigated by using integral sliding mode control technique. Firstly, in order that the system trajectories can be kept on the integral sliding surface almost surely since the initial time, an integral sliding surface is constructed by properly choosing some matrices. On this basis, a novel sliding mode controller is designed to guarantee that the states will be kept on the sliding surface. Then, the sufficient condition in terms of linear matrix inequalities is presented to ensure that the mean-square exponential stability of the states can be guaranteed. Finally, a numerical example is provided to illustrate the effectiveness of the proposed design method. (C) 2015 Elsevier B.V. All rights reserved.
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