Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80618
Title: Distributed non-cooperative robust MPC based on reduced-order models
Authors: Long, Yushen
Liu, Shuai
Xie, Lihua
Johansson, Karl Henrik
Keywords: Model predictive control
Distributed control
Building energy efficiency
Issue Date: 2016
Source: Long, 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.
Series/Report no.: Control Theory and Technology
Abstract: In 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.
URI: https://hdl.handle.net/10356/80618
http://hdl.handle.net/10220/40553
ISSN: 2095-6983
DOI: 10.1007/s11768-016-5125-7
Schools: School of Electrical and Electronic Engineering 
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: [http://dx.doi.org/10.1007/s11768-016-5125-7].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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