Event-Triggered Control of Nonlinear Systems with Quantization Events

Yutian Wang, Tengfei Liu, Zhong Ping Jiang

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

Abstract

The goal of this paper is to create a new paradigm of event-triggered control in which the sampling instants can only be triggered by quantization events. Under the prerequisite of a finite level dynamic quantizer, a new event-triggering mechanism is designed such that the combined error generated by quantization and sampling is bounded within the intertransmission times. With input-to-state stability (ISS) tools, the asymptotic convergence of the system state is achieved and infinitely fast sampling is avoided.

Original languageEnglish (US)
Title of host publication2018 IEEE 14th International Conference on Control and Automation, ICCA 2018
PublisherIEEE Computer Society
Pages441-446
Number of pages6
ISBN (Print)9781538660898
DOIs
StatePublished - Aug 21 2018
Event14th IEEE International Conference on Control and Automation, ICCA 2018 - Anchorage, United States
Duration: Jun 12 2018Jun 15 2018

Publication series

NameIEEE International Conference on Control and Automation, ICCA
Volume2018-June
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Other

Other14th IEEE International Conference on Control and Automation, ICCA 2018
Country/TerritoryUnited States
CityAnchorage
Period6/12/186/15/18

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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