MPC design based on a DBN reliability model: Application to drinking water networks
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hdl:2117/81954
Document typeConference report
Defense date2015
PublisherInternational Federation of Automatic Control (IFAC)
Rights accessRestricted access - publisher's policy
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Abstract
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.
CitationSalazar, J., Weber, P., Sarrate, R., Theilliol, D., Nejjari, F. MPC design based on a DBN reliability model: Application to drinking water networks. A: IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes. "SAFEPROCESS 2015- 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, 2-4 september, Paris (France)". París: International Federation of Automatic Control (IFAC), 2015, p. 1-6.
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Salazar SAFE 2015.pdf | 1,656Mb | Restricted access |