Event-Triggered Adaptive Control for a Class of Nonlinear Pure-Feedback Systems

Ziming Li, Chenliang Wang, Xudong Han, Chen Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In this paper, an event-triggered control scheme is raised for a class of nonlinear pure-feedback systems. A switching threshold strategy of event-triggering is employed such that the communication burden between controllers and actuators can be effectively decreased. The neural networks are introduced to approximate the unknown nonlinear continuous functions appearing in the deign process. According to the stability analysis, it can be seen that the closed-loop system is semi-globally uniformly bounded. In addition, the errors between the actual signals and the command signals could converge to some compact sets.

Original languageEnglish
Title of host publicationProceedings - 2019 Chinese Automation Congress, CAC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2244-2249
Number of pages6
ISBN (Electronic)9781728140940
DOIs
Publication statusPublished - Nov 2019
Externally publishedYes
Event2019 Chinese Automation Congress, CAC 2019 - Hangzhou, China
Duration: 22 Nov 201924 Nov 2019

Publication series

NameProceedings - 2019 Chinese Automation Congress, CAC 2019

Conference

Conference2019 Chinese Automation Congress, CAC 2019
Country/TerritoryChina
CityHangzhou
Period22/11/1924/11/19

Keywords

  • adaptive control
  • backstepping
  • event-triggered control
  • neural networks
  • pure-feedback systems

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