A rule-based mechanism for event-triggered control of nonlinear systems

Mengxi Wang, Tengfei Liu, Zhong Ping Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a new event-generating rule for event-triggered control of nonlinear systems with external disturbances. We consider control systems that are input-to-state stabilizable with the external disturbance and the sampling errors as the inputs. By introducing a decision-making process in the event trigger, our sampling intervals are guaranteed to be larger than a positive lower bound. Moreover, we prove that the closed-loop event-triggered system is input-to-state stable with the external disturbance as the input. Our example and simulation show the effectiveness of the proposed design in reducing sampling times.

Original languageEnglish (US)
Title of host publicationProceedings of the 36th Chinese Control Conference, CCC 2017
EditorsTao Liu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages1373-1378
Number of pages6
ISBN (Electronic)9789881563934
DOIs
StatePublished - Sep 7 2017
Event36th Chinese Control Conference, CCC 2017 - Dalian, China
Duration: Jul 26 2017Jul 28 2017

Publication series

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

Other

Other36th Chinese Control Conference, CCC 2017
Country/TerritoryChina
CityDalian
Period7/26/177/28/17

Keywords

  • Event-triggered control
  • input-to-state stabilization
  • nonlinear systems
  • rule-based triggering

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modeling and Simulation

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