Event-Based Dissipative Control of Interval Type-2 Fuzzy Markov Jump Systems Under Sensor Saturation and Actuator Nonlinearity

被引：39
作者：
Ran, Guangtao [1 ]
Li, Chuanjiang [1 ]
Lam, Hak-Keung [2 ]
Li, Dongyu [3 ]
Han, Chunsong [4 ]
机构：
[1] Harbin Inst Technol, Dept Control Sci & Engn, Harbin 150001, Peoples R China
[2] Kings Coll London, Dept Engn, London WC2R 2LS, England
[3] Natl Univ Singapore, Dept Biomed Engn, Singapore 117583, Singapore
[4] Qiqihar Univ, Sch Mechatron Engn, Qiqihar 161001, Peoples R China
来源：
IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2022年 / 30卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Dissipative control; event-based control; hidden Markov model (HMM); interval type-2 (IT2) fuzzy Markov jump systems (M[!text type='JS']JS[!/text]s); membership-function-dependent (MFD) approach; UNKNOWN TRANSITION-PROBABILITIES; OUTPUT-FEEDBACK CONTROL; TIME-DELAY SYSTEMS; H-INFINITY CONTROL; STABILITY ANALYSIS; TRIGGERED CONTROL; STABILIZATION; DESIGN;
D O I：
10.1109/TFUZZ.2020.3046335
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article proposes a new design of an event-based dissipative asynchronous controller for the interval type-2 (IT2) fuzzy Markov jump systems (MJSs) subject to sensor saturation and actuator nonlinearity. By resorting to a generalized performance index, the H-infinity, passive, and dissipative fuzzy control problems are solved in a unified framework. The event-based scheme is developed for the IT2 fuzzy MJSs subject to sensor saturation and actuator nonlinearity, and the energy consumption of communication can be reduced. Moreover, the system and controller modes are asynchronous, and a hidden Markov model is employed to observe the modes of the original system. The membership-function-dependent approach is applied to analyze the stability of the closed-loop system. Finally, two examples are given to demonstrate the effectiveness of the proposed algorithms.
引用
收藏
页码：714 / 727
页数：14
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