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

• Published in: Neural computing & applications Vol. 33; no. 24; pp. 17471 - 17487
• Main Authors: Sun, Shaoxin, Dai, Xin, Xi, Ruipeng, Zhang, Juan
• Format: Journal Article
• Language: English
• Published: London Springer London 01.12.2021; Springer Nature B.V
• Subjects: Actuators; Artificial Intelligence; Closed loop systems; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Data Mining and Knowledge Discovery; Differential equations; Dynamical systems; Fault tolerance; Feedback control; Image Processing and Computer Vision; Liapunov functions; Mathematical analysis; Noise measurement; Nonlinear dynamics; Nonlinear systems; Original Article; Output feedback; Probability and Statistics in Computer Science; Stability analysis; Time lag; Noise-to-state exponential mean-square stability; Switched random nonlinear systems; Piecewise Lyapunov function; Multiple interval time-varying delays; Fault-tolerant control; Intermittent faults
• ISSN: 0941-0643; 1433-3058
• DOI: 10.1007/s00521-021-06338-3

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.