Self-triggered distributed model predictive control of nonholonomic systems

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Abstract

In this paper, we study the self-triggered distributed model predictive control problem of a class of nonholonomic systems subject to system constraints. A novel self-triggered DMPC algorithm with new sampling selection mechanism is developed. The theoretical results on feasibility of the designed algorithm and the stability of the closed-loop system are provided. A simulation example is offered to verify the effectiveness of the designed approach.

Original languageEnglish
Title of host publication2017 Asian Control Conference, ASCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages280-285
Number of pages6
ISBN (Electronic)9781509015733
DOIs
StatePublished - 7 Feb 2018
Event2017 11th Asian Control Conference, ASCC 2017 - Gold Coast, Australia
Duration: 17 Dec 201720 Dec 2017

Publication series

Name2017 Asian Control Conference, ASCC 2017
Volume2018-January

Conference

Conference2017 11th Asian Control Conference, ASCC 2017
Country/TerritoryAustralia
CityGold Coast
Period17/12/1720/12/17

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