V
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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Leak detection and localization in water distribution networks by combining expert knowledge and data-driven models
TL;DR: In this article, the authors present a novel integrated solution that addresses the specific challenges characterizing WDNs, such as the low spatial resolution of measurements (flow and/or pressure recordings) and the scarcity of annotated data.
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Robust identification and feedback design: An active noise control case study
R.S. Sánchez Peña,R.S. Sánchez Peña,Miquel A. Cugueró,Albert Masip,Joseba Quevedo,Vicenç Puig +5 more
TL;DR: In this article, a robust identification procedure is applied to a duct, in order to design a feedback active noise control (ANC) based on robust analysis and control, and practical problems encountered in applying robust identification and feedback control approaches to ANC are pointed out.
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Distributed Zonotopic Set-Membership State Estimation based on Optimization Methods with Partial Projection
TL;DR: In this paper, a distributed set-membership approach is proposed for the state estimation of large-scale systems, where uncertain system states are bounded in a sequence of the distributed setmembership estimators considering unknown-but-bounded system disturbances and measurement noise.
Proceedings ArticleDOI
Input-Delay Model Predictive Control of Inland Waterways Considering the Backwater Effect
TL;DR: A control-oriented model is derived in this work, which allows to handle the navigability condition of the waterways as well as other operational goals in a suitable manner and is tested on a case study to highlight its performance.
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Simultaneous Optimal Estimation of Roughness and Minor Loss Coefficients in a Pipeline
TL;DR: In this paper, the authors proposed a method to estimate the roughness and head loss coefficients in a non-straight pipeline by minimizing the fitting error in the Colebrook-White equation for an operating interval of the pipeline from flow and pressure measurements at the pipe ends.