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Event-Triggered Strategies for Decentralized Model Predictive Controllers
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0001-7309-8086
2011 (English)In: IFAC Proceedings Volumes (IFAC-PapersOnline), 2011Conference paper (Refereed)
Abstract [en]

In this paper, novel event-triggered strategies for the design of model predictive (MPC) controllers are presented. The MPC framework consists in finding the solution to a constraint optimal-control problem at every time-step. The case of triggering the optimization of the MPC only when is needed, is investigated. The centralized case is treated first and the results are then extended to a decentralized formulation. We consider a system composed by a number of interconnected subsystems, each one of them controlled by a robust MPC algorithm. Using the Input-to-State (ISS) property of the decentralized MPC controller we reach to an event-triggering rule, for each of the subsystems

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Control Engineering
URN: urn:nbn:se:kth:diva-105790DOI: 10.3182/20110828-6-IT-1002.03540ScopusID: 2-s2.0-84866772596OAI: diva2:572157
18th IFAC World Congress

QC 20130527

Available from: 2012-11-26 Created: 2012-11-26 Last updated: 2013-05-27Bibliographically approved

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Dimarogonas, Dimos V.
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ACCESS Linnaeus CentreAutomatic Control
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