4.6 Article

Finite-Time-Prescribed Performance-Based Adaptive Fuzzy Control for Strict-Feedback Nonlinear Systems With Dynamic Uncertainty and Actuator Faults

Journal

IEEE TRANSACTIONS ON CYBERNETICS
Volume 52, Issue 7, Pages 6959-6971

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2020.3046316

Keywords

Actuators; Nonlinear dynamical systems; Fuzzy control; Control systems; Backstepping; Fault tolerant systems; Fault tolerance; Actuator faults; adaptive control; prescribed performance; unmodeled dynamic

Funding

  1. National Natural Science Foundation of China [61773072, 61773051, 61761166011]
  2. Education Department of Liaoning Province through the General Project Research [LJ2020001, 2019LNJC09]

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This article discusses finite-time-prescribed performance-based adaptive fuzzy control for a class of strict-feedback systems in the presence of actuator faults and dynamic disturbances. An adaptive fuzzy fault-tolerant control strategy is introduced to deal with the difficulties associated with actuator faults and external disturbances. A modified performance function called the finite-time performance function (FTPF) is presented, which ensures that all signals of the closed-loop system are bounded and the tracking error converges to a predetermined region in finite time. The effectiveness of the controller is verified through simulation results.
In this article, finite-time-prescribed performance-based adaptive fuzzy control is considered for a class of strict-feedback systems in the presence of actuator faults and dynamic disturbances. To deal with the difficulties associated with the actuator faults and external disturbance, an adaptive fuzzy fault-tolerant control strategy is introduced. Different from the existing controller design methods, a modified performance function, which is called the finite-time performance function (FTPF), is presented. It is proved that the presented controller can ensure all the signals of the closed-loop system are bounded and the tracking error converges to a predetermined region in finite time. The effectiveness of the presented control scheme is verified through the simulation results.

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