Distributed aperiodic model predictive control for multi-agent systems

Kazumune Hashimoto, Shuichi Adachi, Dimos V. Dimarogonas

Research output: Contribution to journalArticle

37 Citations (Scopus)

Abstract

In this study, the authors propose an aperiodic formulation of model predictive control for distributed agents with 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 resources. The triggering rules are derived for both event-triggered and self-triggered formulation. The authors proposed method is also verified through a simulation example.

Original languageEnglish
Pages (from-to)10-20
Number of pages11
JournalIET Control Theory and Applications
Volume9
Issue number1
DOIs
Publication statusPublished - 2015 Jan 2

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Model predictive control
Model Predictive Control
Multi agent systems
Multi-agent Systems
Formulation
Energy Consumption
Optimal Control Problem
Energy utilization
Disturbance
Resources
Communication
Simulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization

Cite this

Distributed aperiodic model predictive control for multi-agent systems. / Hashimoto, Kazumune; Adachi, Shuichi; Dimarogonas, Dimos V.

In: IET Control Theory and Applications, Vol. 9, No. 1, 02.01.2015, p. 10-20.

Research output: Contribution to journalArticle

Hashimoto, Kazumune ; Adachi, Shuichi ; Dimarogonas, Dimos V. / Distributed aperiodic model predictive control for multi-agent systems. In: IET Control Theory and Applications. 2015 ; Vol. 9, No. 1. pp. 10-20.
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