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Distributed event-based model predictive control for multi-agent systems under disturbances
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.
2017 (English)In: 2014 7th International Conference on Network Games, Control and Optimization, NetGCoop 2014, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 255-261, article id 7943425Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 255-261, article id 7943425
Keywords [en]
Energy utilization, Model predictive control, Networked control systems, Optimal control systems, Bounded disturbances, Control performance, Critical resources, Distributed events, Distributed Model predictive Control, Limited communication, Optimal control problem, State measurements, Multi agent systems
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-212128Scopus ID: 2-s2.0-85022183934ISBN: 9788884435743 OAI: oai:DiVA.org:kth-212128DiVA, id: diva2:1133728
Conference
7th International Conference on Network Games, Control and Optimization, NetGCoop 2014, Trento, Italy, 29 October 2014 through 31 October 2014
Note

QC 20170816

Available from: 2017-08-16 Created: 2017-08-16 Last updated: 2017-08-16Bibliographically approved

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CiteExportLink to record
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  • apa
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  • de-DE
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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