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

Jean Carlo Salazar (1) , Philippe Weber (2) , Ramon Sarrate (1) , Didier Theilliol (2) , Fatiha Nejjari (1)

1 Automatic Control Department
2 CRAN - Centre de Recherche en Automatique de Nancy

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.

Mots clés: MPC methods; Dependability

Domaines: Automatique / Robotique

Jean Carlo Salazar, Philippe Weber, Ramon Sarrate, Didier Theilliol, Fatiha Nejjari. MPC design based on a DBN reliability model: application to drinking water networks. 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS'2015, Sep 2015, Paris, France. pp.688-693, ⟨10.1016/j.ifacol.2015.09.607⟩. ⟨hal-01145742⟩