Adaptive fuzzy finite-time fault-tolerant control for switched nonlinear large-scale systems with actuator and sensor faults

This paper investigates the problem of decentralized adaptive fuzzy finite-time control for switched nonlinear large-scale systems with actuator and sensor faults. To estimate unmeasured system states, a state observer is constructed based on the actual measurement value. Fuzzy logic systems are emp...

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Bibliographic Details
Published inJournal of the Franklin Institute Vol. 357; no. 16; pp. 11629 - 11644
Main Authors Zhang, Jing, Li, Shi, Xiang, Zhengrong
Format Journal Article
LanguageEnglish
Published Elmsford Elsevier Ltd 01.11.2020
Elsevier Science Ltd
Subjects
Actuators
Adaptive control
Control systems design
Fault diagnosis
Fault tolerance
Feedback control
Finite element analysis
Fuzzy control
Fuzzy logic
Fuzzy systems
Liapunov functions
Nonlinear control
Nonlinear systems
Recursive functions
State observers
Tracking errors
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Summary:This paper investigates the problem of decentralized adaptive fuzzy finite-time control for switched nonlinear large-scale systems with actuator and sensor faults. To estimate unmeasured system states, a state observer is constructed based on the actual measurement value. Fuzzy logic systems are employed to approximate unknown nonlinear functions. By combining the common Lyapunov function approach and the recursive design method, a decentralized fault-tolerant controller is designed. It can be proven that all states of the closed-loop system are bounded and the tracking error can converge to a small neighborhood of the origin in finite time under arbitrary switchings. Finally, simulation results are given to verify the effectiveness of the proposed scheme.
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content type line 14
ISSN:0016-0032
1879-2693
0016-0032
DOI:10.1016/j.jfranklin.2019.09.005