Observer-Based Fuzzy Adaptive Event-Triggered Control for Pure-Feedback Nonlinear Systems With Prescribed Performance

This paper studies the problem of fuzzy adaptive event-triggered control for a class of pure-feedback nonlinear systems, which contain unknown smooth functions and unmeasured states. Fuzzy logic systems are adopted to approximate unknown smooth functions and a fuzzy state observer is designed to est...

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Veröffentlicht in:IEEE transactions on fuzzy systems Jg. 27; H. 11; S. 2152 - 2162
Hauptverfasser: Qiu, Jianbin, Sun, Kangkang, Wang, Tong, Gao, Huijun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.11.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Adaptive control
Adaptive systems
Derivatives
Event triggered control
Feedback
Fuzzy control
Fuzzy logic
Fuzzy systems
Lyapunov methods
Nonlinear control
Nonlinear systems
Observers
Output feedback
prescribed performance
pure-feedback nonlinear systems
State observers
Tracking errors
ISSN:1063-6706, 1941-0034
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Zusammenfassung:This paper studies the problem of fuzzy adaptive event-triggered control for a class of pure-feedback nonlinear systems, which contain unknown smooth functions and unmeasured states. Fuzzy logic systems are adopted to approximate unknown smooth functions and a fuzzy state observer is designed to estimate unmeasured states. Via the event-triggered control technique, the control signal of the fixed threshold strategy is obtained. By converting the tracking error into a new virtual error variable, an observer-based fuzzy adaptive event-triggered prescribed performance control strategy is designed. The key advantage is that the proposed method does not require a priori knowledge of partial derivatives of system functions, i.e., it relaxes the restrictive condition that the partial derivatives of system functions need to be known for pure-feedback nonlinear systems. Simulation results confirm the efficiency of the proposed method.
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ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2019.2895560