Reference
J. M. Maestre, L. Raso,
P. J. van Overloop, and B. De Schutter,
"Distributed tree-based model predictive control on an open water system,"
Proceedings of the 2012 American Control Conference,
Montréal, Canada, pp. 1985-1990, June 2012.
Abstract
Open water systems are one of the most externally influenced systems due to
their size and continuous exposure to uncertain meteorological forces. In this
paper we use a stochastic programming approach to control a drainage system in
which the weather forecast is modeled as a disturbance tree. A model predictive
controller is used to optimize the expected value of the system variables
taking into account the disturbance tree. This technique, tree-based model
predictive control (TBMPC), is solved in a parallel fashion by means of dual
decomposition. In addition, different possibilities are explored to reduce the
communicational burden of the parallel algorithm. Finally, the performance of
this technique is compared with others such as minmax or multiple model
predictive control.
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BibTeX
@inproceedings{MaeRas:12-013,
author = {Maestre, Jos{\'{e}} M. and Raso, Luciano and van Overloop,
Peter Jules and De Schutter, Bart},
title = {Distributed Tree-Based Model Predictive Control on an Open
Water System},
booktitle = {Proceedings of the 2012 American Control Conference},
address = {Montr\'eal, Canada},
pages = {1985--1990},
month = jun,
year = {2012}
}