Event-triggered distributed receding horizon control of dynamically coupled linear systems

Changxin Liu, Huiping Li

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

3 Scopus citations

Abstract

In this paper, an event-triggered distributed receding horizon control algorithm is proposed for dynamically coupled continuous-time linear systems. First, an event-triggered rule that is realized by monitoring the error between subsystem state and its optimal prediction is designed, and an extra constraint that restricts the discrepancy between each subsystem's assumed and predicted state and input trajectories is introduced to local optimization problems. Combined with the triggering rule and the extra constraint, the mutual disturbances caused by dynamical coupling are bounded and the inter-event time is lower bounded to avoid the Zeno behavior. Based on this, the algorithm feasibility and closed-loop stability are rigorously studied, and sufficient conditions for guaranteeing them are established. Finally, simulation studies are conducted to verify the theoretical results.

Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6279-6284
Number of pages6
ISBN (Electronic)9781538611272
DOIs
StatePublished - 15 Dec 2017
Event43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
Duration: 29 Oct 20171 Nov 2017

Publication series

NameProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Volume2017-January

Conference

Conference43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Country/TerritoryChina
CityBeijing
Period29/10/171/11/17

Keywords

  • Constrained systems
  • Coupled systems
  • Distributed receding horizon control
  • Event-triggered control

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