Compensation-Based Output Feedback Control for Fuzzy Markov Jump Systems With Random Packet Losses

被引：26

作者：

Xue, Min ^{[1
]}

Yan, Huaicheng ^{[1
,2
]}

Zhang, Hao ^{[3
]}

Zhan, Xisheng ^{[4
]}

Shi, Kaibo ^{[2
]}

机构：

[1] East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

[2] Chengdu Univ, Sch Informat Sci & Engn, Chengdu 610106, Peoples R China

[3] Tongji Univ, Dept Control Sci & Engn, Shanghai 200092, Peoples R China

[4] Hubei Normal Univ, Coll Mech & Control Engn, Huangshi 435002, Hubei, Peoples R China

来源：

IEEE TRANSACTIONS ON CYBERNETICS | 2022年 / 52卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Output feedback; Markov processes; Smoothing methods; Packet loss; Hidden Markov models; Control systems; Symmetric matrices; Compensation scheme; Markov jump systems; output feedback control; single exponential smoothing (SES); STABILIZATION; DELAYS;

D O I：

10.1109/TCYB.2021.3088872

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 article is concerned with the problem of compensation-based output feedback control for Takagi-Sugeno fuzzy Markov jump systems subject to packet losses. The phenomenon of packet losses is assumed to randomly occur in the feedback channel, which is modeled by a Bernoulli process. Employing the single exponential smoothing method as a compensation scheme, the missing measurements are predicted to help offset the impact of packet losses on system performance. Then, an asynchronous output feedback controller is designed by the hidden Markov model. Based on the mode-dependent Lyapunov function, some novel sufficient conditions on the controller existence are derived such that the closed-loop system is stochastically stable with strict dissipativity. Besides, an algorithm for determining the optimal smoothing parameter is proposed. Finally, the validity and advantages of the design approach are manifested by some simulation results.

引用

页码：12759 / 12770

页数：12

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