Distributed aperiodic model predictive control for multi-agent systems
2015 (English)In: IET Control Theory & Applications, ISSN 1751-8644, Vol. 9, no 1, 10-20 p.Article in journal (Refereed) Published
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.
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
IdentifiersURN: urn:nbn:se:kth:diva-160049DOI: 10.1049/iet-cta.2014.0368ISI: 000346432400002ScopusID: 2-s2.0-84918791335OAI: oai:DiVA.org:kth-160049DiVA: diva2:793235
QC 201503062015-03-062015-02-132015-03-06Bibliographically approved