Time-varying scheme for noncentralized model predictive control of large-scale systems


Reference:
A. Núñez, C. Ocampo-Martinez, J.M. Maestre, and B. De Schutter, "Time-varying scheme for noncentralized model predictive control of large-scale systems," Mathematical Problems in Engineering, vol. 2015, 17 pp., 2015. Article ID 560702.

Abstract:
The Non-Centralized Model Predictive Control (NC-MPC) framework in this paper refers to any distributed, hierarchical, or decentralized model predictive controller (or a combination of them) the structure of which can change over time and the control actions of which are not obtained based on a centralized computation. Within this framework, we propose suitable on-line methods to decide which information is shared and how this information is used between the different local predictive controllers operating in a decentralized, distributed, and/or hierarchical way. Evaluating all the possible structures of the NC-MPC controller leads to a combinatorial optimization problem. Therefore, we also propose heuristic reduction methods, to keep tractable the number of NC-MPC problems to be solved. To show the benefits of the proposed framework, a case study of a set of coupled water tanks is presented.


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Bibtex entry:

@article{NunOca:15-040,
        author={A. N{\'{u}}{\~{n}}ez and C. Ocampo-Martinez and J.M. Maestre and B. {D}e Schutter},
        title={Time-varying scheme for noncentralized model predictive control of large-scale systems},
        journal={Mathematical Problems in Engineering},
        volume={2015},
        year={2015},
        note={Article ID 560702},
        doi={10.1155/2015/560702}
        }



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