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

Jiangfeng Zhang, Xiaohua Xia

Research output: Contribution to journalArticle

49 Citations (Scopus)
114 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)358-362
Number of pages5
JournalAutomatica
Volume47
Issue number2
DOIs
Publication statusPublished - Feb 2011

Keywords

  • predictive control approach
  • periodic implementation
  • optimal dynamic resource
  • perfect optimal dynamic resource allocation problem
  • energy optimization
  • model predictive control

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