Event-triggered control of nonlinear systems: A small-gain paradigm

Zhong Ping Jiang, Tengfei Liu, Pengpeng Zhang

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

Abstract

This paper presents a review on the nonlinear small-gain approach to event-triggered control of nonlinear systems. First, this paper shows the basic idea of applying the nonlinear small-gain theorem to event-triggered control of nonlinear systems with full state-feedback. Second, the result for the case of full state feedback is extended to systems with partial state and output feedback, by introducing a dynamic event-triggering mechanism. Third, an estimation mechanism is employed to estimate the influence of unmeasurable state and external disturbance, and the estimate is used to trigger the sampling events.

Original languageEnglish (US)
Title of host publication2017 13th IEEE International Conference on Control and Automation, ICCA 2017
PublisherIEEE Computer Society
Pages242-247
Number of pages6
ISBN (Electronic)9781538626795
DOIs
StatePublished - Aug 4 2017
Event13th IEEE International Conference on Control and Automation, ICCA 2017 - Ohrid, Macedonia, The Former Yugoslav Republic of
Duration: Jul 3 2017Jul 6 2017

Publication series

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

Other

Other13th IEEE International Conference on Control and Automation, ICCA 2017
CountryMacedonia, The Former Yugoslav Republic of
CityOhrid
Period7/3/177/6/17

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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  • Cite this

    Jiang, Z. P., Liu, T., & Zhang, P. (2017). Event-triggered control of nonlinear systems: A small-gain paradigm. In 2017 13th IEEE International Conference on Control and Automation, ICCA 2017 (pp. 242-247). [8003067] (IEEE International Conference on Control and Automation, ICCA). IEEE Computer Society. https://doi.org/10.1109/ICCA.2017.8003067