Dissipative Control for Fuzzy Singular Markov Jump Systems With State-Dependent Noise and Asynchronous Modes

被引：4
|
作者：
Wu, Bingyu [1 ]
Zhao, Yong [1 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China
来源：
IEEE ACCESS | 2021年 / 9卷
基金：
中国国家自然科学基金;
关键词：
Hidden Markov models; Markov processes; Symmetric matrices; Output feedback; Closed loop systems; Linear matrix inequalities; Delay effects; Singular Markov jump systems; asynchronous dissipative control; hidden Markov model; linear matrix inequalities (LMIs); Takagi-Sugeno (T-S) fuzzy model; FEEDBACK-CONTROL; ROBUST STABILIZATION; STABILITY ANALYSIS; TIME; DELAY;
D O I：
10.1109/ACCESS.2021.3057851
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the issue of dissipative control for a class of discrete-time T-S fuzzy singular Markov jump systems with state-dependent noise and asynchronous modes is investigated. The hidden Markov model (HMM) is introduced to observe the asynchronous phenomenon between the original system modes and the controller modes. Sufficient conditions are established in the form of strict LMIs to guarantee that the closed-loop system is stochastically admissible and strictly (Q, S, R)- beta dissipative. An asynchronous output feedback controller is successfully proposed, which is more general than synchronous and mode-independent ones. Finally, the effectiveness and validity of the obtained results are illustrated by a numerical example.
引用
收藏
页码：25691 / 25702
页数：12
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