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

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...

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Veröffentlicht in:IEEE transactions on fuzzy systems Jg. 29; H. 4; S. 786 - 796
Hauptverfasser: Sun, Kangkang, Liu, Lu, Qiu, Jianbin, Feng, Gang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.04.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Adaptive control
Asymptotic stability
Closed loop systems
Control stability
Dynamic stability
Fault tolerance
Fault tolerant systems
Fault-tolerant control
Feedback control
finite-time stability
fuzzy adaptive control
Fuzzy control
Nonlinear control
Nonlinear systems
Stability criteria
strict-feedback systems
Tracking errors
ISSN:1063-6706, 1941-0034
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Zusammenfassung: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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ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2020.2965890