Event-Triggered Robust Fuzzy Adaptive Finite-Time Control of Nonlinear Systems With Prescribed Performance

In this article, an event-triggered robust fuzzy adaptive prescribed performance finite-time control strategy is presented for a class of strict-feedback nonlinear systems with external disturbances. The relative-threshold-based event-triggered signal is introduced to reduce communication burden, an...

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Veröffentlicht in:IEEE transactions on fuzzy systems Jg. 29; H. 6; S. 1460 - 1471
Hauptverfasser: Sun, Kangkang, Qiu, Jianbin, Karimi, Hamid Reza, Fu, Yili
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.06.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Adaptive control
Adaptive systems
Closed loop systems
Computational complexity
Disturbance observer
Disturbance observers
Estimation
event-triggered
Feedback control
Fuzzy control
Nonlinear control
Nonlinear systems
prescribed performance
Robust control
robust fuzzy control
Robustness
Tracking errors
ISSN:1063-6706, 1941-0034
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Zusammenfassung:In this article, an event-triggered robust fuzzy adaptive prescribed performance finite-time control strategy is presented for a class of strict-feedback nonlinear systems with external disturbances. The relative-threshold-based event-triggered signal is introduced to reduce communication burden, and the dynamic surface control technique is applied to address the computational complexity problem. A disturbance observer is designed to estimate the compounded disturbances, which are composed of external disturbances and fuzzy approximation errors. The proposed control strategy can guarantee that the closed-loop system is semiglobally practically finite-time stable, and the tracking error converges to a small residual set by incorporating the prescribed performance bound in finite-time. Finally, simulation results are provided to verify the effectiveness of the proposed robust fuzzy control strategy.
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ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2020.2979129