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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Published in:	IEEE transactions on fuzzy systems Vol. 29; no. 6; pp. 1460 - 1471
Main Authors:	Sun, Kangkang, Qiu, Jianbin, Karimi, Hamid Reza, Fu, Yili
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.06.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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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Abstract	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.
AbstractList	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.
Author	Qiu, Jianbin Karimi, Hamid Reza Sun, Kangkang Fu, Yili
Author_xml	– sequence: 1 givenname: Kangkang orcidid: 0000-0001-9572-8536 surname: Sun fullname: Sun, Kangkang email: kangkangsunhit@gmail.com organization: State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin, China – sequence: 2 givenname: Jianbin orcidid: 0000-0001-7707-6159 surname: Qiu fullname: Qiu, Jianbin email: jbqiu@hit.edu.cn organization: State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin, China – sequence: 3 givenname: Hamid Reza orcidid: 0000-0001-7629-3266 surname: Karimi fullname: Karimi, Hamid Reza email: hamidreza.karimi@polimi.it organization: Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy – sequence: 4 givenname: Yili orcidid: 0000-0001-7720-654X surname: Fu fullname: Fu, Yili email: ylfms@hit.edu.cn organization: State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin, China
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SubjectTerms	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
Title	Event-Triggered Robust Fuzzy Adaptive Finite-Time Control of Nonlinear Systems With Prescribed Performance
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