Persona: Dormido Canto, Raquel
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0000-0003-1175-5065
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Dormido Canto
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Raquel
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Publicación A systematic two-layer approach to develop Web-based experimentation environments for control engineering education((submitted), 2007-01-01) Vargas Oyarzún, Héctor; Dormido Bencomo, Sebastián; Sánchez Moreno, José; Dormido Canto, Raquel; Dormido Canto, Sebastián; Farias, GonzaloPublicación Using Web-based laboratories for control engineering education(International Conference on Engineering Education – ICEE 2007, 2007-09-03) Dormido Bencomo, Sebastián; Vargas Oyarzún, Héctor; Esquembre Martínez, Francisco; Sánchez Moreno, José; Duro Carralero, Natividad; Dormido Canto, Raquel; Dormido Canto, SebastiánPublicación Advanced Control by Reinforcement Learning for Wastewater Treatment Plants: A Comparison with Traditional Approaches(MDPI, 2023) Gorrotxategi Zipitria, Mikel; Hernández del Olmo, Félix; Gaudioso Vázquez, Elena; Duro Carralero, Natividad; Dormido Canto, RaquelControl mechanisms for biological treatment of wastewater treatment plants are mostly based on PIDS. However, their performance is far from optimal due to the high non-linearity of the biological and changing processes involved. Therefore, more advanced control techniques are proposed in the literature (e.g., using artificial intelligence techniques). However, these new control techniques have not been compared to the traditional approaches that are actually being used in real plants. To this end, in this paper, we present a comparison of the PID control configurations currently applied to control the dissolved oxygen concentration (in the active sludge process) against a reinforcement learning agent. Our results show that it is possible to have a very competitive operating cost budget when these innovative techniques are applied.Publicación The Three-Tank System: A Remote and Virtual Control Laboratory using Easy Java Simulations(2005-01-01) Vargas Oyarzún, Héctor; Dormido Bencomo, Sebastián; Duro Carralero, Natividad; Dormido Canto, Raquel; Sánchez Moreno, José; Pastor Vargas, Rafael; Dormido Canto, SebastiánPublicación Development of a Web-Based Control Laboratory for Automation Technicians: The Three-Tank System(IEEE TRANSACTIONS ON EDUCATION, 2007-01-01) Vargas Oyarzún, Héctor; Dormido Bencomo, Sebastián; Dormido Canto, Raquel; Duro Carralero, Natividad; Sánchez Moreno, José; Dormido Canto, Sebastián; Farias, GonzaloPublicación Red Automatl@bs. Compartiendo recursos de experimentación a través de Internet: la experiencia Automatl@bs(2009-09-01) Dormido Bencomo, Sebastián; Vargas Oyarzún, Héctor; Canto Díez, María Antonia; Sánchez Moreno, José; Dormido Canto, Raquel; Duro Carralero, Natividad; Dormido Canto, Sebastián; Morilla García, Fernando; Farias, GonzaloPublicación Desarrollo de laboratorios virtuales, interactivos y remotos utilizando Easy Java Simulations y modelos Simulink(XII Latin-American Congress on Automatic Control , CD-ROM del Congreso, Salvador de Bahía (Brasil), october 2006, 2006-01-01) Esquembre Martínez, Francisco; Dormido Bencomo, Sebastián; Vargas Oyarzún, Héctor; Canto Díez, María Antonia; Sánchez Moreno, José; Dormido Canto, Raquel; Duro Carralero, Natividad; Farias, GonzaloPublicación Análisis, desarrollo y publicación de laboratorios vrtuales y remotos para la enseñanza de la automática(EIWISA 2007, V Jornadas de enseñanza a través de internet/web de la inginiería de sistemas y automática, 2007-01-01) Dormido Bencomo, Sebastián; Canto Díez, María Antonia; Esquembre Martínez, Francisco; Sánchez Moreno, José; Dormido Canto, Sebastián; Dormido Canto, Raquel; Duro Carralero, Natividad; Farias, GonzaloPublicación Data mining technique for fast retrieval of similar waveforms in Fusion massive databases(Elsevier, 2008-01-01) Vega, J.; Pereira González, Augusto; Portas, A.; Santos, Matilde; Sánchez, E.; Pajares Martínsanz, Gonzalo; Dormido Canto, Sebastián; Dormido Canto, Raquel; Sánchez Moreno, José; Duro Carralero, Natividad; Farias, GonzaloFusion measurement systems generate similarwaveforms for reproducible behavior.Amajor difficulty related to data analysis is the identification, in a rapid and automated way, of a set of discharges with comparable behaviour, i.e. discharges with “similar” waveforms. Here we introduce a new technique for rapid searching and retrieval of “similar” signals. The approach consists of building a classification system that avoids traversing the whole database looking for similarities. The classification system diminishes the problem dimensionality (by means of waveform feature extraction) and reduces the searching space to just the most probable “similar” waveforms (clustering techniques). In the searching procedure, the input waveform is classified in any of the existing clusters. Then, a similarity measure is computed between the input signal and all cluster elements in order to identify the most similar waveforms. The inner product of normalized vectors is used as the similarity measure as it allows the searching process to be independent of signal gain and polarity. This development has been applied recently to TJ-II stellarator databases and has been integrated into its remote participation system.Publicación Aplicación de un sistema de medición automática en prácticas de respuesta en frecuencia(1998-01-01) Lázaro Obensa, Juan Carlos; Morilla García, Fernando; Hernández Berlinches, Roberto; Dormido Canto, Raquel