Reliable control for T-S fuzzy delayed systems using a semi-Markov process

被引：0
作者：
Su, Lei [1 ]
Ye, Dan [1 ,2 ]
Zhao, Xingang [3 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110189, Liaoning, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110189, Liaoning, Peoples R China
[3] Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot Shenyang Inst Automat, Shenyang 110016, Liaoning, Peoples R China
来源：
2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2017年
基金：
中国国家自然科学基金;
关键词：
H-INFINITY CONTROL; TIME-VARYING DELAY; NEURAL-NETWORKS; STABILITY; MODELS; RISK;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper is concerned with the reliable control for T-S fuzzy systems with time-varying delays using a semi-Markov jump process. The objective is to synthesize a reliable controller such that the considered system is stochastically stable even if the actuator suffers from failures. A mode-dependent Lyapunov-Krasovskii functional (LKF) is employed and some novel integral inequalities are utilized in order to reduce the conservatism. In this case, some criteria are established and the desired controller can be achieved by settling an optimization issue in view of the proposed criteria. Finally, an example is presented to show the superiority of the given results.
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页数：6
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