Journal of Process Control article on Chance-constrained model predictive control for drinking water networks

Journal of Process Control (2014) January 14, 2014 Authors: J.M. Grosso, , C. Ocampo-Martínez, V. Puig, B. Joseph Abstract:  This paper addresses a chance-constrained model predictive control (CC-MPC) strategy for the management of drinking water networks (DWNs) based on a finite horizon stochastic optimisation problem with joint probabilistic (chance) constraints. In this approach, water demands are considered additive stochastic disturbances with non-stationary

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PhD School on ‘Control of Drinking Water Networks’. Lucca. July 2013.

Speakers: 1. Bart De Schutter, Delft University of Technology (The Netherlands): gave a lecture titled “Control of Large-scale systems with applications to water distribution networks” 2. Vivenç Puig, UPC (Universitat Politènica de Catalunya, Barcelona Tech.), (Spain): gave a lecture titled “Control of water distribution networks” The slides of the lecturers are available on the web

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