4.7 Article

Dissipativity-Based Intermittent Fault Detection and Fault-Tolerant Control for Uncertain Switched Random Nonlinear Systems With Multiple Delays

期刊

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2022.3157937

关键词

Switches; Nonlinear systems; Control systems; Uncertainty; Observers; Mathematical models; Fault tolerant systems; Dissipativity; multiple delays; random systems; switched systems; uncertainties

资金

  1. National Natural Science Foundation of China [62103066, 61627809, 61621004, 62173080]
  2. China Postdoctoral Science Foundation [2021TQ0392, 2021M700592]
  3. Chongqing Postdoctoral Innovative Talents Support Program [CQBX2021005]
  4. Chongqing Postdoctoral Science Foundation [cstc2021jcyj-bsh0106]

向作者/读者索取更多资源

The issue of fault detection and fault-tolerant control for a switched random nonlinear system with multiple delays is investigated in this work. The proposed method utilizes a dimensionally adjustable observer and controller to achieve the desired stability and performance. Numerical simulation and practical examples demonstrate the effectiveness and feasibility of the approach.
The issue of fault detection (FD) and fault-tolerant control is developed for a switched random nonlinear system against multiple delays in this work. There also exist parameter uncertainties, exogenous disturbances, nonlinear functions as well as measurement noise in this model. This is one of the few tries to investigate the dissipativity issue and an design FD-based observer for the switched random system. Based on the dimensionally adjustable observer, the controller is designed to make this system noise-to-state exponentially mean-square stable. Then, these sufficient stability conditions can be earned by the piecewise Lyapunov function. Concurrently, this strict (Q,S,R)-upsilon- dissipativity performance, this elaborate $H_{infinity}$ performance as well as this elaborate H_ performance can be gained, separately. In addition, the merits and feasibility are presented via a numerical simulation and a practical example.

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