Event-driven MPC for leader-follower nonlinear multi-agent systems

Yang Xu, Yuan Yuan, Huaping Liu

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

Abstract

In this paper, we propose a model predictive control (MPC) method, which is on the basis of event-driven, for a tracking scheme of a leader-follower nonlinear multi-agent system (MAS) limited to input constraints and disturbances. An event-driven condition is designed for each follower such that each follower updates its states at trigger instants. By the designed event-driven scheme, a MPC method is proposed to implement the tracking scheme. Recursive feasibility and practical stability are ensured simultaneously by devising a robust terminal region as well as appropriate parameters for each follower. At last, an example on satellites is provided to validate the validity of the presented approach.

Original languageEnglish
Title of host publicationICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages526-531
Number of pages6
ISBN (Electronic)9781538670668
DOIs
StatePublished - 11 Jan 2019
Externally publishedYes
Event3rd IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2018 - Singapore, Singapore
Duration: 18 Jul 201820 Jul 2018

Publication series

NameICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics

Conference

Conference3rd IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2018
Country/TerritorySingapore
CitySingapore
Period18/07/1820/07/18

Keywords

  • Event-driven mechanism
  • model predictive control (M-PC)
  • multi-agent system (MAS)
  • tracking scheme

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