Adaptive quantization strategy for event-triggered networked control systems

Jin Zhang, Chen Peng*, Cancan Guo, Dacheng Peng

*Corresponding author for this work

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

Abstract

This paper investigates an adaptive quantization strategy for networked control systems (NCSs) under an event-triggered control method. Considering the network random delay, event-triggering control method and adaptive quantization, a new type of model of NCS is first built. Specifically, the quantizer is characterized by a sector bound method, which can adaptively adjust the quantization density at the triggering instants. Secondly, by Lyapunov-Krasovskii functional method, sufficient stability and stabilization criteria are obtained to judging the uniformly ultimately bounded stability of the studied system. Then the event-triggered control method parameter and the controller gain are also given simultaneously. Finally, an example is given to demonstrate the potential of the derived approach.

Original languageEnglish
Title of host publicationProceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages89-94
Number of pages6
ISBN (Electronic)9781479925384
DOIs
StatePublished - 31 Aug 2015
Externally publishedYes
EventInternational Conference on Mechatronics and Control, ICMC 2014 - Jinzhou, China
Duration: 3 Jul 20145 Jul 2014

Publication series

NameProceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014

Conference

ConferenceInternational Conference on Mechatronics and Control, ICMC 2014
Country/TerritoryChina
CityJinzhou
Period3/07/145/07/14

Keywords

  • Adaptive quantizer
  • Event triggered control method
  • Networked control systems

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