Asynchronous Dissipative Control for Fuzzy Markov Jump Systems

被引：213
|
作者：
Wu, Zheng-Guang [1 ]
Dong, Shanling [1 ]
Su, Hongye [1 ]
Li, Chuandong [2 ]
机构：
[1] Zhejiang Univ, Inst Cyber Syst & Control, Natl Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China
[2] Southwest Univ, Coll Elect & Informat Engn, Chongqing Key Lab Nonlinear Circuits & Intelligen, Chongqing 400715, Peoples R China
来源：
IEEE TRANSACTIONS ON CYBERNETICS | 2018年 / 48卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Asynchronous dissipativity control; Markov jump systems; Takagi-Sugeno (T-S) fuzzy model; COMPLEX DYNAMICAL NETWORKS; NEURAL-NETWORKS; NONLINEAR-SYSTEMS; DELAYS; SYNCHRONIZATION; PASSIVITY;
D O I：
10.1109/TCYB.2017.2739754
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of asynchronous dissipative control is investigated for Takagi-Sugeno fuzzy systems with Markov jump in this paper. Hidden Markov model is introduced to represent the nonsynchronization between the designed controller and the original system. By the fuzzy-basis-dependent and mode-dependent Lyapunov function, a sufficient condition is achieved such that the resulting closed-loop system is stochastically stable with a strictly (Q, S, R)-alpha-dissipative performance. The controller parameter is derived by applying MATLAB to solve a set of linear matrix inequalities. Finally, we present two examples to confirm the validity and correctness of our developed approach.
引用
收藏
页码：2426 / 2436
页数：11
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