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Distributed aperiodic model predictive control for multi-agent systems
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-7309-8086
2015 (English)In: IET Control Theory & Applications, ISSN 1751-8644, Vol. 9, no 1, 10-20 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2015. Vol. 9, no 1, 10-20 p.
Keyword [en]
predictive control, multi-agent systems, optimal control, distributed aperiodic model predictive control, multiagent systems, aperiodic formulation, distributed agents, additive bounded disturbances, optimal control problem, energy consumption, communication resources
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-160049DOI: 10.1049/iet-cta.2014.0368ISI: 000346432400002ScopusID: 2-s2.0-84918791335OAI: diva2:793235

QC 20150306

Available from: 2015-03-06 Created: 2015-02-13 Last updated: 2015-03-06Bibliographically approved

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