Distributed non-cooperative robust MPC based on reduced-order models
2016 (English)In: Control Theory and Technology, ISSN 2095-6983, Vol. 14, no 1, 11-20 p.Article in journal (Refereed) PublishedText
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.
Place, publisher, year, edition, pages
South China University of Technology , 2016. Vol. 14, no 1, 11-20 p.
building energy efficiency, distributed control, Model predictive control, Algorithms, Constraint satisfaction problems, Controllers, Distributed parameter control systems, Energy efficiency, Optimization, Predictive control systems, Structural analysis, Interconnected subsystems, Local controllers, Online computations, Optimization problems, Practical stability, Reduced order models, Large scale systems
IdentifiersURN: urn:nbn:se:kth:diva-188316DOI: 10.1007/s11768-016-5125-7ScopusID: 2-s2.0-84959102576OAI: oai:DiVA.org:kth-188316DiVA: diva2:935169
QC 201606102016-06-102016-06-092016-06-10Bibliographically approved