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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Vydané v:	IEEE transactions on fuzzy systems Ročník 27; číslo 11; s. 2152 - 2162
Hlavní autori:	Qiu, Jianbin, Sun, Kangkang, Wang, Tong, Gao, Huijun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.11.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	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.
AbstractList	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. 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 [Formula Omitted] 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.
Author	Qiu, Jianbin Sun, Kangkang Wang, Tong Gao, Huijun
Author_xml	– sequence: 1 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, and also with the Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China – sequence: 2 givenname: Kangkang orcidid: 0000-0002-8568-7248 surname: Sun fullname: Sun, Kangkang email: kksun@hit.edu.cn organization: State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, and also with the Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China – sequence: 3 givenname: Tong orcidid: 0000-0002-7252-1695 surname: Wang fullname: Wang, Tong email: twang@hit.edu.cn organization: State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, and also with the Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China – sequence: 4 givenname: Huijun orcidid: 0000-0001-5554-5452 surname: Gao fullname: Gao, Huijun email: hjgao@hit.edu.cn organization: State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, and also with the Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China
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SubjectTerms	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
Title	Observer-Based Fuzzy Adaptive Event-Triggered Control for Pure-Feedback Nonlinear Systems With Prescribed Performance
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