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MPC design based on a DBN reliability model: Application to drinking water networks

By Jean Carlo Salazar Cortés, Philipe Weber, Ramon Sarrate Estruch, Didier Theilliol and Fatiha Nejjari Akhi-Elarab


This paper presents a Model Predictive Control (MPC) strategy taking into account system and component reliability for drinking water networks. The objective is to deal from an availability point of view with a closed-loop system combining a deterministic part related to the system dynamics and a stochastic part related to the actuators and system reliability. The main contribution of this work consists in integrating the reliability assessment computed on-line using a Dynamic Bayesian Network (DBN) into the MPC algorithm.Peer Reviewe

Topics: Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Bayesian statistical decision theory, Automatic control, Water - Distribution, Reliability, Model predictive control, Dynamic Bayesian network, Drinking water networks, Control automàtic, Estadística bayesiana, Aigua--Distribució
Publisher: International Federation of Automatic Control (IFAC)
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Provided by: RECERCAT
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