Distributed aperiodic model predictive control for multi-agent systems

Kazumune Hashimoto, Shuichi Adachi, Dimos V. Dimarogonas

Research output: Contribution to journalArticlepeer-review

67 Citations (Scopus)


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
Issue number1
Publication statusPublished - 2015 Jan 2

ASJC Scopus subject areas

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


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