A distributed model predictive control algorithm of linear systems over time-varying directed graphs

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Abstract

This paper investigates the distributed model predictive control (DMPC) problem for a network of linear discrete-time systems with coupled constraints over time-varying directed communication network. An centralized MPC optimization problem is first designed and further transformed into a dual form. A distributed optimization algorithm termed push-sum dual gradient (PSDG) is proposed to solve the dual problem in a fully distributed way. Finally, simulation studies verify the effectiveness of the proposed distributed optimization algorithm.

Original languageEnglish
Title of host publicationProceedings of the 38th Chinese Control Conference, CCC 2019
EditorsMinyue Fu, Jian Sun
PublisherIEEE Computer Society
Pages2971-2976
Number of pages6
ISBN (Electronic)9789881563972
DOIs
StatePublished - Jul 2019
Event38th Chinese Control Conference, CCC 2019 - Guangzhou, China
Duration: 27 Jul 201930 Jul 2019

Publication series

NameChinese Control Conference, CCC
Volume2019-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference38th Chinese Control Conference, CCC 2019
Country/TerritoryChina
CityGuangzhou
Period27/07/1930/07/19

Keywords

  • Distributed model predictive control (DMPC)
  • Global constraints
  • Push-sum dual gradient algorithm
  • Time-varying directed graphs

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