Adaptive Event-Triggered Control of Nonlinear Systems With Controller and Parameter Estimator Triggering

In this note, the event-triggered adaptive control for a class of uncertain nonlinear systems is considered. Unlike the traditional adaptive event-triggered control, the controller and parameter estimator are event-triggered simultaneously. Asymptotical convergence of stabilization error is guarante...

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Published in	IEEE transactions on automatic control Vol. 65; no. 1; pp. 318 - 324
Main Authors	Huang, Jiangshuai, Wang, Wei, Wen, Changyun, Li, Guoqi
Format	Journal Article
Language	English
Published	New York IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects	Adaptive control Asymptotic properties Asymptotic stability Control systems Controllers Convergence Event triggered control Nonlinear control Nonlinear systems Parameter estimation parameter estimator triggering Real-time systems Stability criteria Stabilization
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Abstract	In this note, the event-triggered adaptive control for a class of uncertain nonlinear systems is considered. Unlike the traditional adaptive event-triggered control, the controller and parameter estimator are event-triggered simultaneously. Asymptotical convergence of stabilization error is guaranteed. To solve this problem, we design a set of event-triggering conditions, which is updated for each triggering. At the same time, the input-to-state stable assumption is not needed. It is shown that the proposed control schemes guarantee that all the closed-loop signals are globally bounded and the stabilization error converges to the origin asymptotically. Simulation results illustrate the effectiveness of our scheme.
AbstractList	In this note, the event-triggered adaptive control for a class of uncertain nonlinear systems is considered. Unlike the traditional adaptive event-triggered control, the controller and parameter estimator are event-triggered simultaneously. Asymptotical convergence of stabilization error is guaranteed. To solve this problem, we design a set of event-triggering conditions, which is updated for each triggering. At the same time, the input-to-state stable assumption is not needed. It is shown that the proposed control schemes guarantee that all the closed-loop signals are globally bounded and the stabilization error converges to the origin asymptotically. Simulation results illustrate the effectiveness of our scheme.
Author	Li, Guoqi Wen, Changyun Wang, Wei Huang, Jiangshuai
Author_xml	– sequence: 1 givenname: Jiangshuai orcidid: 0000-0002-2590-3738 surname: Huang fullname: Huang, Jiangshuai email: jshuang@cqu.edu.cn organization: School of Automation, Chongqing University, Chongqing, China – sequence: 2 givenname: Wei orcidid: 0000-0001-9596-2752 surname: Wang fullname: Wang, Wei email: w.wang@buaa.edu.cn organization: School of Automation and Electrical Engineering and also with Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China – sequence: 3 givenname: Changyun orcidid: 0000-0001-9530-360X surname: Wen fullname: Wen, Changyun email: ecywen@ntu.edu.sg organization: School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore – sequence: 4 givenname: Guoqi orcidid: 0000-0002-8994-431X surname: Li fullname: Li, Guoqi email: liguoqi@mail.tsinghua.edu.cn organization: Department of Precision Instrument, Tsinghua University, Beijing, China
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Snippet	In this note, the event-triggered adaptive control for a class of uncertain nonlinear systems is considered. Unlike the traditional adaptive event-triggered...
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SubjectTerms	Adaptive control Asymptotic properties Asymptotic stability Control systems Controllers Convergence Event triggered control Nonlinear control Nonlinear systems Parameter estimation parameter estimator triggering Real-time systems Stability criteria Stabilization
Title	Adaptive Event-Triggered Control of Nonlinear Systems With Controller and Parameter Estimator Triggering
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