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dc.contributor.authorLong, Yushenen
dc.contributor.authorLiu, Shuaien
dc.contributor.authorXie, Lihuaen
dc.contributor.authorJohansson, Karl Henriken
dc.identifier.citationLong, Y., Liu, S., Xie, L., & Johansson, K. H. (2016). Distributed non-cooperative robust MPC based on reduced-order models. Control Theory and Technology, 14(1), 11-20.en
dc.description.abstractIn this paper, a non-cooperative distributed MPC algorithm based on reduced order model is proposed to stabilize large-scale systems. The large-scale system consists of a group of interconnected subsystems. Each subsystem can be partitioned into two parts: measurable part, whose states can be directly measured by sensors, and the unmeasurable part. In the online computation phase, only the measurable dynamics of the corresponding subsystem and neighbour-to-neighbour communication are necessary for the local controller design. Satisfaction of the state constraints and the practical stability are guaranteed while the complexity of the optimization problem is reduced. Numerical examples are given to show the effectiveness of this algorithm.en
dc.format.extent9 p.en
dc.relation.ispartofseriesControl Theory and Technologyen
dc.rights© 2016 Springer International Publishing AG. This is the author created version of a work that has been peer reviewed and accepted for publication by Control Theory and Technology, Springer International Publishing AG. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [].en
dc.subjectModel predictive controlen
dc.subjectDistributed controlen
dc.subjectBuilding energy efficiencyen
dc.titleDistributed non-cooperative robust MPC based on reduced-order modelsen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.description.versionAccepted versionen
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