Command-Filter-Based Adaptive Fuzzy Finite-Time Control for Switched Nonlinear Systems Using State-Dependent Switching Method

The adaptive fuzzy finite-time tracking control problem of a class of switched nonlinear systems is investigated in this study. Fuzzy logic systems are introduced to handle the unknown nonlinear terms in the considered system. To overcome the drawback in the recursive design method, a finite-time co...

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Vydáno v:IEEE transactions on fuzzy systems Ročník 29; číslo 4; s. 833 - 845
Hlavní autoři: Li, Shi, Ahn, Choon Ki, Xiang, Zhengrong
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.04.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Adaptive control
Adaptive filters
Adaptive fuzzy control
Adaptive systems
Backstepping
command filtering
Control methods
Design methodology
Feedback control
finite-time control
Fuzzy control
Fuzzy logic
Fuzzy systems
Nonlinear control
Nonlinear systems
state feedback
Subsystems
Switched systems
Switches
Switching
System effectiveness
Tracking control
ISSN:1063-6706, 1941-0034
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Shrnutí:The adaptive fuzzy finite-time tracking control problem of a class of switched nonlinear systems is investigated in this study. Fuzzy logic systems are introduced to handle the unknown nonlinear terms in the considered system. To overcome the drawback in the recursive design method, a finite-time command filter is employed. By constructing a new state-dependent switching law and adaptive fuzzy control signal, the existing restrictions on subsystems of switched systems are relaxed, all subsystems of the considered system are allowed to be unstabilizable. To avoid the Zeno behavior, a new hysteresis switching law is derived. It is proven that all states of the closed-loop system are bounded in finite time under the proposed fuzzy finite-time control scheme. Additionally, the proposed control method is extended to a class of more general switched large-scale nonlinear systems. Finally, two examples are provided to verify the developed method's effectiveness.
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ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2020.2965917