Fault-tolerant control for uncertain switched random systems with multiple interval time-varying delays and intermittent faults

被引:1
|
作者
Sun, Shaoxin [1 ]
Dai, Xin [1 ]
Xi, Ruipeng [2 ]
Zhang, Juan [2 ]
机构
[1] Chongqing Univ, Coll Automat, Chongqing 400044, Peoples R China
[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China
来源
NEURAL COMPUTING & APPLICATIONS | 2021年 / 33卷 / 24期
基金
中国博士后科学基金;
关键词
Switched random nonlinear systems; Noise-to-state exponential mean-square stability; Fault-tolerant control; Multiple interval time-varying delays; Intermittent faults; Piecewise Lyapunov function; SUGENO FUZZY-SYSTEMS; H-INFINITY CONTROL; NONLINEAR-SYSTEMS; TRACKING CONTROL; DESIGN; STABILITY;
D O I
10.1007/s00521-021-06338-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper focuses on the passive fault-tolerant control for an uncertain switched nonlinear random system with multiple interval time-varying delays and intermittent faults in sensors and actuators. There are also nonlinear functions, exogenous disturbances and measurement noise in the system. There are few tries to realize noise-to-state exponentially mean-square stability for switched random nonlinear systems subject to multiple interval time-varying delays allowing various time delay cases. Random differential equations are more common than stochastic differential equations in practice. Thus, the suggested method is more practicable. First, a nonlinear dynamic output feedback fault-tolerant controller is constructed. Next, an augmented closed-loop system can be obtained in the framework of multiple interval time-varying delays. Then piecewise Lyapunov function is utilized to realize stability analysis for the closed-loop system. At last, this feasibility of this approach presented in this study is verified through two examples.
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页码:17471 / 17487
页数:17
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