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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Solving Diagnosability of Hybrid Systems via Abstraction and Discrete Event Techniques
TL;DR: This paper addresses the problem of determining the diagnosability of hybrid systems by abstracting hybrid models to a discrete event setting by using standard discrete event system diagnosable algorithms and an iterative approach todiagnosability.
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Chance-constrained stochastic MPC of Astlingen urban drainage benchmark network
TL;DR: This work applies stochastic MPC to the UDS using the chance-constrained method and compares the operational behavior of both the classical MPC with perfect forecast and the Chance-Constrained MPC based on different stochastics scenarios of the rain forecast.
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Fault tolerant control of unstable LPV systems subject to actuator saturations using virtual actuators
Damiano Rotondo,Jean-Christophe Ponsart,Didier Theilliol,Fatiha Nejjari,Vicenç Puig,Vicenç Puig +5 more
TL;DR: In this paper, an active fault tolerant control (FTC) strategy for open-loop unstable linear parameter varying (LPV) systems subject to actuator saturations and faults is proposed.
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Prognosis of water quality sensors using advanced data analytics: Application to the barcelona drinking water network
TL;DR: This paper provides an advanced data analytics framework that will allow us to diagnose water quality sensor faults and to detect water quality events, and analyses the quality sensor time series forecasting the degradation and therefore providing a predictive maintenance plan avoiding unsafe situations in the WDS.
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Health-aware Model Predictive Control of Pasteurization Plant
TL;DR: In this paper, the integration of model predictive control (MPC) with a fatigue estimation approach that minimizes the damage of the components of a pasteurization plant is proposed.