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.
Papers
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Proceedings ArticleDOI
System reconfiguration of large-scale control systems using back-up actuators
TL;DR: This work devoted to the introduction of the problem which is solved by formulating the actuator selection as a mixed-integer programming optimization, and a water distribution network is used with the aim to illustrate the new problem implications as well as to demonstrate the validity of the proposed solution.
Proceedings ArticleDOI
Set-membership identification: Bayesian approach vs subpavings approach
TL;DR: It is shown that the Bayesian approach, assuming uniform distributed estimation error and flat model prior probability distributions, leads to the same feasible parameter set than the subpavings technique.
Proceedings ArticleDOI
Robust adaptive simultaneous state and fault estimation for nonlinear systems: Application to an aerodynamical system
TL;DR: In this paper, the authors proposed a robust adaptive fault estimation and an unknown input decoupling for nonlinear systems using a quadratic boundedness approach, in which the fault estimation strategy and decoupled of the unknown input is based on an unknown observer.
Book ChapterDOI
Multiple Fault Diagnosis System Design Using Reliability Analysis: Application to Barcelona Rain-Gauge Network
TL;DR: In this article, the authors discuss the problem of designing a fault diagnosis system to be able to deal with multiple sequential fault occurrence using reliability analysis techniques, which is very common in complex systems with thousands of components.
Journal ArticleDOI
Optimización Distribuida de Redes Convolucionales para la Clasificación de Imágenes
Emmanuel F. Ramírez Hernández,Héctor Rodríguez Rangel,Victor Gonzalez-Huitron,Juan J. Flores,Vicenç Puig +4 more
TL;DR: An improvement in the execution times in the optimization of the hyperparameters of Convolutional Neural Networks in image classification tasks is proposed by distributing the evaluation function of the compact genetic algorithm.