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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Bibliographic Details
Published inIEEE transactions on automatic control Vol. 65; no. 1; pp. 318 - 324
Main Authors Huang, Jiangshuai, Wang, Wei, Wen, Changyun, Li, Guoqi
Format Journal Article
LanguageEnglish
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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Summary: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.
Bibliography:ObjectType-Article-1
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content type line 14
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2019.2912517