4.8 Article

Fuzzy Adaptive Finite-Time Fault-Tolerant Control for Strict-Feedback Nonlinear Systems

Journal

IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 29, Issue 4, Pages 786-796

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2020.2965890

Keywords

Nonlinear systems; Asymptotic stability; Closed loop systems; Fault tolerance; Fault tolerant systems; Stability criteria; Fault-tolerant control; finite-time stability; fuzzy adaptive control; strict-feedback systems

Funding

  1. Research Grants Council of HongKong [CityU-11211818, 11206717]
  2. Self-Planned Task of State Key Laboratory of Robotics and Systems of Harbin Institute of Technology [SKLRS201801A03]
  3. National Natural Science Foundation of China [61873311]
  4. 111 Project [B16014]

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This article investigates a fuzzy adaptive control strategy based on dynamic surface control technique for addressing nonaffine nonlinear faults in a class of strict-feedback nonlinear systems. A novel fault-tolerant control strategy is designed to ensure semi-global practical finite-time stability and convergence of tracking error to a small residual set in a finite time under the framework of finite-time stability. Simulation studies on an electromechanical system are presented to validate the feasibility of the proposed approach.
This article devotes to investigating the issue of fuzzy adaptive control for a class of strict-feedback nonlinear systems with nonaffine nonlinear faults. The computational complexity is reduced by adopting the dynamic surface control technique. Under the framework of finite-time stability, a novel fault-tolerant control strategy is designed so that the closed-loop system is semiglobally practically finite-time stable, and the tracking error converges to a small residual set in a finite time. Finally, simulation studies for an electromechanical system are shown to verify the feasibility of the presented approach.

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