Titlebook: Real-time Monitoring and Operational Control of Drinking-Water Systems; Vicenç Puig,Carlos Ocampo-Martínez,Teresa Escobet Book 2017 Spring

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Demand Forecasting for Real-Time Operational Controlhods to forecast the hourly water demand are studied and compared with the aim of being applied for the operational control of any water transport network. The short-term forecast of the intraday series has a main feature: the double periodicity (daily and hourly). To address this issue, several ext

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Model Predictive Control of Water Networks Considering Flow Tanks are usually built with enough elevation to guarantee the service pressure required for their associated consumption area. WTNs contain large water mains and control elements, such as pumping stations and valves, linking the sources to consumption areas. Their operational control involves plan

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Stochastic Model Predictive Control for Water Transport Networks with Demand Forecast Uncertaintys chapter. The first approach, named chance-constrained MPC, makes use of the assumption that the uncertain future water demands follow some known continuous probability distribution while at the same time, certain risk (probability) for the state constraints to be violated is allocated. The second

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Fault-Tolerant Model Predictive Control of Water Transport Networks predictive controller should be redesigned to cope with the fault effect. Before starting to apply the fault-tolerant control strategy, it should be evaluated whether the predictive controller will be able to continue operating after the fault appearance. This is done by means of a structural analy