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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Constrained Model Predictive Control Based on Reduced-Order Models

Conference:  52nd IEEE Annual Conference on Decision and Control (CDC), Florence, Italy. 10-13 December, 2013 Authors: P. Sopasakis, D. Bernardini, and A. Bemporad Abstract: The need for reduced-order approximations of dynamical systems emerges naturally in model-based control of very large-scale systems, such as those arising from the discretisation of partial differential equation models. The controller based on the reduced-order model, when

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Multi-layer Model Predictive Control of Regional Water Networks: Application to the Catalunya Case Study

Conference: 52nd IEEE Annual Conference on Decision and Control (CDC), Florence, Italy. 10-13 December, 2013. Authors: Cong Cong Sun, Vicenc Puig and Gabriela Cembrano Abstract: A multi-layer model predictive control (MPC) scheme with temporal multi-level coordination for regional water networks is proposed. First, a multi-layer control structure resulting from a functional decomposition of water network is briefly presented. Inside each

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