A model predictive control approach to the periodic implementation of the solutions of the optimal dynamic resource allocation problem
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Date
Authors
Zhang, Jiangfeng
Xia, Xiaohua
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
This paper proposes a model predictive control (MPC) approach to the periodic implementation of the
optimal solutions of a class of resource allocation problems in which the allocation requirements and
conditions repeat periodically over time. This special class of resource allocation problems includes many
practical energy optimization problems such as load scheduling and generation dispatch. The convergence
and robustness of the MPC algorithm is proved by invoking results from convex optimization. To illustrate
the practical applications of the MPC algorithm, the energy optimization of a water pumping system is
studied.
Description
Keywords
Model predictive control, Perfect optimal dynamic resource allocation problem, Energy optimization
Sustainable Development Goals
Citation
Zhang, J., & Xia, X.A model predictive control approach to the periodic implementation of the solutions of the optimal dynamic resource allocation problem. Automatica, vol. 47, no. 2, pp. 358-362 (2011), doi:10.1016/j.automatica.2010.10.049