M
Marco Sanjuan
Researcher at Universidad del Norte, Colombia
Publications - 59
Citations - 394
Marco Sanjuan is an academic researcher from Universidad del Norte, Colombia. The author has contributed to research in topics: Fault detection and isolation & Fuzzy logic. The author has an hindex of 9, co-authored 57 publications receiving 307 citations. Previous affiliations of Marco Sanjuan include University of South Florida & University of the Andes.
Papers
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An improved weighted recursive PCA algorithm for adaptive fault detection
TL;DR: A novel weighted adaptive recursive fault detection technique based on Principal Component Analysis (PCA) is proposed to address the issue of the increment in false alarm rate in process monitoring schemes due to the natural, slow and normal process changes (aging), which often occurs in real processes.
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Fuzzy surface-based sliding mode control.
TL;DR: A new controller based on a combination of Sliding Mode Control and Fuzzy Logic and the conventional sliding surface is modified using a set of fuzzy rules that confers controller robustness and flexibility.
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Auto-Ignition Control in Spark-Ignition Engines Using Internal Model Control Structure
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Auto-ignition control in turbocharged internal combustion engines operating with gaseous fuels
Jorge Duarte,German Amador,Jesús García,Armando Fontalvo,Ricardo Vasquez Padilla,Marco Sanjuan,Arturo González Quiroga +6 more
TL;DR: In this article, a thermodynamic model for predicting temperature at the ignition point is developed, adjusted and validated with a large experimental data-set from high power turbocharged engines based on this model, the performance of feedback and feed-forward auto-ignition control strategies is explored.
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Dynamic performance of an aiming control methodology for solar central receivers due to cloud disturbances
Jesús García,Yen Chean Soo Too,Ricardo Vasquez Padilla,Andrew Beath,Jin-Soo Kim,Marco Sanjuan +5 more
TL;DR: In this article, the authors show a dynamic performance analysis of a solar central receiver operating when short-time cloud passages partially shade the solar field and incorporate an aiming methodology based on a closed-loop model predictive control approach.