A model predictive control approach to the periodic implementation of the solutions of the optimal dynamic resource allocation problem

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 inclu...

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Bibliographic Details
Published in:Automatica (Oxford) 2011-02, Vol.47 (2), p.358-362
Main Authors: Zhang, Jiangfeng, Xia, Xiaohua
Format: Article
Language:English
Subjects:
Adaptative systems
Algorithms
Allocations
Applied sciences
Computer science
control theory
systems
Control theory. Systems
Convergence
Energy optimization
Exact sciences and technology
Mathematical models
Model predictive control
Optimal control
Optimization
Perfect optimal dynamic resource allocation problem
Predictive control
Resource allocation
Robustness
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Summary: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.
ISSN:0005-1098
1873-2836
DOI:10.1016/j.automatica.2010.10.049