Persona: Dormido Canto, Raquel
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Dormido Canto
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Raquel
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Publicación 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 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 Developing and Implementing Virtual and Remote Labs for Control Education: The UNED pilot experience(17th IFAC World Congress (IFAC'08) Seoul, Korea, July 6-11, 2008, 2008-07-06) Dormido Bencomo, Sebastián; Vargas Oyarzún, Héctor; Dormido Canto, Raquel; Duro Carralero, Natividad; Dormido Canto, Sebastián; Morilla García, FernandoLast years, research efforts on the development of virtual and remote laboratories in control engineering education have been reported in many conferences, workshops and journals. However, it is observed that pilot experiences about the utilization of web-based laboratories are not habitual practices. In this paper it is described the pilot experience of the Department of Computer Science and Automatic Control of the Spanish University of Distance Learning (UNED) about the introduction of three webbased laboratories in a course on process control. This experience begins with descriptions of the tools employed to develop client and server-sides and the collaborative environment used to publish the labs in Internet. Attention is due to the concept of task protocol. It consists essentially of an ordered list of activities that students must execute in the virtual and remote mode of each one of the three web-based laboratories. To conclude, results of the pilot experience are given by means of evaluation questionnaires.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 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 Web-Based learning resources for vocational training for automation technicians(IFAC 2006, 2006-01-01) Vargas Oyarzún, Héctor; Dormido Bencomo, Sebastián; Farias Castro, Gonzalo Alberto; Esquembre Martínez, Francisco; Sánchez Moreno, José; Duro Carralero, Natividad; Dormido Canto, Raquel; Dormido Canto, Sebastián; Farias, GonzaloPublicación Tackling the start-up of a reinforcement learning agent for the control of wastewater treatment plants(Elsevier, 2018) Hernández del Olmo, Félix; Gaudioso Vázquez, Elena; Dormido Canto, Raquel; Duro Carralero, NatividadReinforcement learning problems involve learning by doing. Therefore, a reinforcement learning agent will have to fail sometimes (while doing) in order to learn. Nevertheless, even with this starting error, introduced at least during the non-optimal learning stage, reinforcement learning can be affordable in some domains like the control of a wastewater treatment plant. However, in wastewater treatment plants, trying to solve the day-to-day problems, plant operators will usually not risk to leave their plant in the hands of an inexperienced and untrained reinforcement learning agent. In fact, it is somewhat obvious that plant operators will require firstly to check that the agent has been trained and that it works as it should at their particular plant. In this paper, we present a solution to this problem by giving a previous instruction to the reinforcement learning agent before we let it act on the plant. In fact, this previous instruction is the key point of the paper. In addition, this instruction is given effortlessly by the plant operator. As we will see, this solution does not just solve the starting up problem of leaving the plant in the hands of an untrained agent, but it also improves the future performance of the agent.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, RaquelPublicación Easy Java Simulations: an Open-Source Tool to Develop Interactive Virtual Laboratories Using MATLAB/Simulink(TEMPUS Publications, The International Journal of Engineering Education: Especial issue on Matlab/Simulink in engineering education, 21, 5, 798-813, 2005, 2005-01-01) Esquembre Martínez, Francisco; Dormido Bencomo, Sebastián; Sánchez Moreno, José; Martín Villalba, Carla; Dormido Canto, Sebastián; Dormido Canto, Raquel; Pastor Vargas, Rafael; Urquía Moraleda, AlfonsoPublicación 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, Sebastián