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Receding horizon control of hybrid linear delayed systems: Application to sewer networks

Authors: Joseph Duran, Bernat; Ocampo-Martínez, Carlos; Cembrano Gennari, Gabriela;

Receding horizon control of hybrid linear delayed systems: Application to sewer networks

Abstract

A control-oriented hybrid linear model for water transport in sewer networks is proposed as a suitable framework for the computation of real-time controllers for the minimization of flooding in presence of heavy-rain events. The model is based on individual network elements (sewers, gates, weirs and tanks) and does not rely on topological simplifications, thus providing a better description of the hydrological and hydraulic phenomena than in similar works. Using a generic form of a hybrid linear model, a simple matrix-based procedure for the formulation and solution of an optimal control problem is also presented. This procedure is applied to the sewer network model for the case study of a part of the Barcelona sewer network in a receding horizon control strategy, showing the effectiveness of the proposed control approach.

This work has been partially funded by the Spanish project WATMAN (DPI2009-13744), the EU Project EFFINET (FP7-ICT-2011-8-318556), and the JAE-PreDoc program of the Spanish National Research Council (CSIC).

Trabajo presentado al 52nd CDC celebrado en Florencia del 10 al 13 de diciembre de 2013.

Peer Reviewed

Keywords

predictive control. Author keywords: network modeling, Control predictiu, :Informàtica::Automàtica i control [Àrees temàtiques de la UPC], optimisation, receding horizon control, linear programming, linear delayed systems, control theory, MPC, Control theory, Classificació INSPEC::Control theory::Predictive control, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, :Control theory::Predictive control [Classificació INSPEC], control system synthesis, network modeling [predictive control. Author keywords]

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selected citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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