Adaptive event-triggered PID controllers for linear discrete-time plants

Hao Yu, Zhe Guan, Tongwen Chen, Toru Yamamoto

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

1 Citation (Scopus)

Abstract

This paper studies adaptive event-triggered PID controllers for 2nd-order linear discrete-time plants for set-point tracking. A new adaptive law is designed by introducing a decay parameter to improve the robustness of the closed-loop system. By utilizing the extra robustness, an absolute type of event-triggering conditions is proposed, where the threshold parameter is co-designed with the adaptive laws. Then, the closed-loop system is formulated into a nonlinear interconnected system among the tracking errors, the differences of outputs, and the parameter estimation errors. A rigorous proof of stability is provided to ensure that the tracking error converges to a vicinity of zero when the initial state belongs to some compact sets. Finally, numerical simulations are given to illustrate the efficiency and feasibility of the proposed results.

Original languageEnglish
Title of host publicationProceedings of the 39th Chinese Control Conference, CCC 2020
EditorsJun Fu, Jian Sun
PublisherIEEE Computer Society
Pages4444-4449
Number of pages6
ISBN (Electronic)9789881563903
DOIs
Publication statusPublished - Jul 2020
Externally publishedYes
Event39th Chinese Control Conference, CCC 2020 - Shenyang, China
Duration: 27 Jul 202029 Jul 2020

Publication series

NameChinese Control Conference, CCC
Volume2020-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference39th Chinese Control Conference, CCC 2020
Country/TerritoryChina
CityShenyang
Period27/07/2029/07/20

Keywords

  • Adaptive control
  • PID controllers
  • event-triggered control
  • linear systems

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