Stabilization of nonlinear event-triggered control systems with time-varying triggering conditions

Hao Yu, Fei Hao, Shenrui Pan

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

Abstract

This paper studies the stabilization problem of nonlinear event-triggered control systems using the hybrid system model approach. An extension of the concept, maximum allowable sampling period, is proposed by considering the effects of the time-triggered manner and the event-triggered manner simultaneously. Then a time-varying triggering condition is given where the threshold parameter varies adaptively based on the interval between two consecutive triggering instants. Moreover, to reduce the on-line computational load for the time-varying triggering condition, a look-up table method and an improved time-invariant triggering condition are proposed. Finally, a numerical example is given to illustrate the efficiency and the feasibility of the proposed results.

Original languageEnglish
Title of host publicationProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6401-6406
Number of pages6
ISBN (Electronic)9781509046560
DOIs
Publication statusPublished - 12 Jul 2017
Externally publishedYes
Event29th Chinese Control and Decision Conference, CCDC 2017 - Chongqing, China
Duration: 28 May 201730 May 2017

Publication series

NameProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

Conference

Conference29th Chinese Control and Decision Conference, CCDC 2017
Country/TerritoryChina
CityChongqing
Period28/05/1730/05/17

Keywords

  • Asymptotic stability
  • Event-triggered control
  • Nonlinear systems
  • Time-varying triggering conditions

Fingerprint

Dive into the research topics of 'Stabilization of nonlinear event-triggered control systems with time-varying triggering conditions'. Together they form a unique fingerprint.

Cite this