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Vicenç Puig

Researcher at Spanish National Research Council

Publications -  698
Citations -  11271

Vicenç Puig is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: Fault detection and isolation & Model predictive control. The author has an hindex of 45, co-authored 656 publications receiving 9039 citations. Previous affiliations of Vicenç Puig include University of Huelva & Politehnica University of Bucharest.

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Application of predictive control strategies to the management of complex networks in the urban water cycle [Applications of Control]

TL;DR: The management of the urban water cycle is a subject of increasing interest because of its social, economic, and environmental impact as discussed by the authors, and the most important issues include sustainable use of limited resources and the reliability of service to consumers with adequate quality and pressure levels, as well as the urban drainage management to prevent flooding and polluting discharges to the environment.
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Optimal control of urban drainage systems. A case study

TL;DR: In this article, the authors deal with the use of optimal control techniques in urban drainage systems containing gates and detention tanks as well as a telemetry/telecontrol system, where optimal control is used to provide control strategies which contribute to reducing the events of flooding and pollution discharges to the environment.
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Methodology for leakage isolation using pressure sensitivity analysis in water distribution networks

TL;DR: In this paper, a leakage localisation method based on the pressure measurements and pressure sensitivity analysis of nodes in a network is proposed, where the binary matrix is assumed as a signature matrix for leakages.
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Fault diagnosis and fault tolerant control using set-membership approaches: Application to real case studies

TL;DR: The use of set-membership methods in fault diagnosis (FD) and fault tolerant control (FTC) using a deterministic unknown-but-bounded description of noise and parametric uncertainty (interval models).
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Validation and reconstruction of flow meter data in the Barcelona water distribution network

TL;DR: In this paper, a signal analysis methodology is presented to validate and reconstruct the missing and false data of a large set of flow meters in the telecontrol system of a water distribution network, based on two time-scale forecasting models: a daily model based on a ARIMA time series, while the 10-min model is based on distributing the daily flow using a 10min demand pattern.