Distributed event-based model predictive control for multi-agent systems under disturbances

Kazumune Hashimoto, Shuichi Adachi, Dimos V. Dimarogonas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose an aperiodic formulation of Distributed Model Predictive Control for the cooperation of multi-agent systems under additive bounded disturbances. In the proposed method, each agent solves an Optimal Control Problem only when certain control performances cannot be guaranteed according to certain triggering rules. This could lead to the reduction of energy consumption and the alleviation of over-usage of communication loads under critical resource constraints in networked control systems, such as limited communication power and the life-time of the battery. The triggering rule is derived for event-based case, where control inputs are executed based on the current state measurement. Our proposed method is also verified through a simple simulation example.

Original languageEnglish
Title of host publication2014 7th International Conference on Network Games, Control and Optimization, NetGCoop 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages255-261
Number of pages7
ISBN (Electronic)9788884435743
Publication statusPublished - 2014 Jul 2
Externally publishedYes
Event7th International Conference on Network Games, Control and Optimization, NetGCoop 2014 - Trento, Italy
Duration: 2014 Oct 292014 Oct 31

Publication series

Name2014 7th International Conference on Network Games, Control and Optimization, NetGCoop 2014

Other

Other7th International Conference on Network Games, Control and Optimization, NetGCoop 2014
Country/TerritoryItaly
CityTrento
Period14/10/2914/10/31

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Optimization

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