Anti-disturbance observer-based finite-time reliable control design for fuzzy switched systems

被引:4
|
作者
Sakthivel, R. [1 ]
Abinandhitha, R. [1 ]
Harshavarthini, S. [2 ]
Mohammadzadeh, A. [3 ]
Saat, S. [4 ,5 ]
机构
[1] Bharathiar Univ, Dept Appl Math, Coimbatore 641046, India
[2] Vellore Inst Technol, Sch Adv Sci, Dept Math, Chennai, India
[3] Univ Bonab, Dept Elect Engn, Bonab, Iran
[4] Albukhary Int Univ, Sch Comp & Informat, Alor Setar, Kedah, Malaysia
[5] Univ Teknikal Malaysia, Ctr Telecommun Res & Innovat, Melaka, Malaysia
关键词
Switched systems; TS fuzzy approach; Anti-disturbance observer-based estimator; Reliable control; Finite-time boundedness; FAULT-TOLERANT CONTROL; NONLINEAR-SYSTEMS; TRACKING CONTROL; STABILIZATION; DELAY;
D O I
10.1016/j.fss.2023.108673
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This study proposes a finite-time anti-disturbance observer-based reliable (Q, S, R) - theta dissipative feedback control technique for a class of Takagi-Sugeno fuzzy switched systems in conjunction with time-varying state/input delays and multiple disturbances. In contrast to previous findings, the external disturbances in this study are considered to be multiple disturbances, which are classified into matched and mismatched disturbances since the underlying system can be affected by various forms of disturbances [21], [25]. In order to deal with the matched disturbances that are brought about by exogenous systems, an anti-disturbance observer has been established. As well, (Q, S, R) - theta dissipative performance handles the mismatched part, which includes the concepts of Hma, passivity, mixed Hma and passivity performance in a unified structure. In addition, unlike previous works in which the failure of the actuator is assumed to be deterministic [37], [38], the failure probability of the actuator in this work is determined using a distinct random variable with a probabilistic distribution in the range of [0, 1]. Furthermore, in accordance with parallel distributed compensation method and reliable control design with stochastic theory, the desired fuzzy-rule based control protocol is developed. Moreover, distinct from the asymptotic and exponential stability that are defined over an infinite interval of time [4], [14], the finite-time notion is considered in this work, where it prevents the states from exceeding a specific range within a fixed interval. A set of adequate requirements are derived utilising the Lyapunov stability theory and average dwell time technique to ensure the finite-time boundedness of the system under consideration. In the end, effectiveness of the theoretical findings is validated by means of simulation results.(c) 2023 Elsevier B.V. All rights reserved.
引用
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页数:25
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