A small-gain approach to event-triggered control of nonlinear systems

Tengfei Liu, Zhong Ping Jiang

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

Abstract

This paper presents a new approach to event-triggered control of nonlinear systems. The study is directly based on the notion of input-to-state stability (ISS) and its essential relationship with robust stability. Our main result is an ISS gain condition for event-triggered control of nonlinear systems. It is proved that infinitely fast sampling can be avoided with an appropriately designed event triggering mechanism if the system is input-to-state stabilizable with the sampling error as the external input and the resulted ISS gain is Lipschitz on compact sets. No assumption on the existence of known ISS-Lyapunov functions is made in the discussions. Moreover, the forward completeness problem with event-triggered control is studied systematically by ISS small-gain arguments.

Original languageEnglish (US)
Title of host publicationProceedings of the 33rd Chinese Control Conference, CCC 2014
EditorsShengyuan Xu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages5857-5862
Number of pages6
ISBN (Electronic)9789881563842
DOIs
StatePublished - Sep 11 2014
EventProceedings of the 33rd Chinese Control Conference, CCC 2014 - Nanjing, China
Duration: Jul 28 2014Jul 30 2014

Publication series

NameProceedings of the 33rd Chinese Control Conference, CCC 2014
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Other

OtherProceedings of the 33rd Chinese Control Conference, CCC 2014
Country/TerritoryChina
CityNanjing
Period7/28/147/30/14

Keywords

  • Event-triggered control
  • input-to-state stability (ISS)
  • nonlinear systems
  • small-gain theorem

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'A small-gain approach to event-triggered control of nonlinear systems'. Together they form a unique fingerprint.

Cite this