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Title:Distributed model predictive control for multi-objective water system management
Authors:X. Tian, J.M. Maestre, P.J. van Overloop, R.R. Negenborn

Conference:10th International Conference on Hydroinformatics (HIC 2012)
Address:Hamburg, Germany
Date:July 2012

Abstract:Model Predictive Control (MPC) has been implemented on large-scale water systems in the Netherlands with the objective to keep water levels within a certain range. However, the application of conventional centralized MPC is not possible for water systems that are very large, especially when multiple organizations with their own objectives are involved. Distributed Model Predictive Control is introduced in order to deal with multiple goals in a computationally tractable way. In this paper, we illustrate how dual decomposition could be used for establishing the multi-objective management in a distributed manner.

Reference:Distributed model predictive control for multi-objective water system management. X. Tian, J.M. Maestre, P.J. van Overloop, R.R. Negenborn. In Proceedings of the 10th International Conference on Hydroinformatics (HIC 2012), Hamburg, Germany, July 2012. Paper 175.

BibTeX:
@inproceedings{Tian:12a,
  author =    {X. Tian and J. M. Maestre and P. J. {van Overloop} and R. R. Negenborn},
  title =     {Distributed model predictive control for multi-objective water system management},
  booktitle = {Proceedings of the 10th International Conference on Hydroinformatics},
  address =   {Hamburg, Germany},
  year =      {2012},
  month =     {July},
  note =      {Paper 175}
}
Download:Corresponding technical report


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