Asynchronous Dissipative Control and Robust Exponential Mean Square Stabilization for Uncertain Fuzzy Neutral Markov Jump Systems

被引:7
作者
Wang Jie [1 ]
Zhuang Guangming [1 ]
Xia Jianwei [1 ]
Chen Guoliang [1 ]
Zhao Junsheng [1 ]
机构
[1] Liaocheng Univ, Sch Math Sci, Liaocheng 252059, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Asynchronous fuzzy P-D feedback control; exponential mean square stabilization; hidden Markov model; neutral Markov jump systems; strict dissipativity; NEURAL-NETWORKS; STABILITY ANALYSIS; DYNAMICAL-SYSTEMS; NONLINEAR-SYSTEMS; TRACKING CONTROL; DESIGN; DELAYS;
D O I
10.1007/s11424-021-1005-4
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper researches the strict dissipative control problem for uncertain fuzzy neutral Markov jump systems by Takagi-Sugeno fuzzy rules. The asynchronous phenomenon is considered between the uncertain fuzzy neutral Markov jump systems modes and asynchronous fuzzy P-D feedback controller modes, which is described by a hidden Markov model. Via using linear matrix inequalities, the desired asynchronous fuzzy P-D feedback controller is obtained, which can ensure that the closed-loop uncertain fuzzy neutral Markov jump systems satisfies robustly exponential mean square stabilization with strict dissipativity. A numerical example and a single-link robot arm are utilized to demonstrate the effectiveness of the method.
引用
收藏
页码:1374 / 1397
页数:24
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