Persona: Dormido Canto, Sebastián
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Dormido Canto
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Sebastián
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Publicación An anytime optimal control strategy for multi-rate systems(IEEE , 2017-02-20) Aranda Escolástico, Ernesto; Guinaldo Losada, María; Ángel Cuenca; Julián Salt; Dormido Canto, Sebastián; https://orcid.org/0000-0003-4466-2666; https://orcid.org/0000-0002-9640-2658In this work, we study a dual-rate system with fast-sampling at the input and propose a design to optimize the consecutive control signals. The objective of the optimization is to maximize the decay rate depending on the available resources to stabilize faster the control system. Stability conditions are enunciated in terms of Linear Matrix Inequalities (LMIs). The control solution is extended to time delays. A numerical example illustrates the benefits of the control proposal.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 Event-based Control: A Bibliometric Analysis of Twenty Years of Research(IEEE, 2020-03-04) Aranda Escolástico, Ernesto; Guinaldo Losada, María; Heradio Gil, Rubén; Chacón, Jesús; Vargas Oyarzún, Héctor; Sánchez, José; Sánchez Moreno, José; Dormido Canto, SebastiánThe potential benefits of networked control systems are tremendous, as they can be easily upgraded by just including new components (i.e., sensors, actuators, or controllers), avoiding any further modifications to their structure. A critical approach to unleash such potential benefits is event-based control, where the system output turns to be sampled on demand, instead of being sampled constantly at rigid periods of time. This paper analyzes from a bibliometric point of view the literature published for the last twenty years on event-based control, identifying the most relevant articles, authors, institutions, and journals. Moreover, the principal topics, motivations, and problems faced by the researchers are discussed, identifying distinct challenges and opportunities for future research.Publicación Simulation and Experimental Results of a New Control Strategy For Point Stabilization of Nonholonomic Mobile Robots(IEEE, 2019-08-22) Farias, Gonzalo; Garcia, Gonzalo; Dormido Bencomo, Sebastián; Fábregas Acosta, Ernesto; Aranda Escolástico, Ernesto; Chaos García, Dictino; Dormido Canto, SebastiánThis article presents a closed-loop position control of a mobile robot, which is capable of moving from its current position to a target point by manipulating its linear and angular velocities. The main objective of this article is to modify an existing control law based on the kinematic model to improve the response when the robot is backwards oriented and to reach the destination point in less time and with a shorter trajectory. Stability of the proposed control law is validated by Lyapunov Criterion. Some procedures are implemented to test this approach both in simulation with MATLAB, and experimentally with the Khepera IV robot.Publicación 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 Evidence-Based Control Engineering Education: Evaluating the LCSD Simulation Tool(IEEE, 2020-09-25) Marin, Loreto; Vargas, Héctor; Heradio Gil, Rubén; Torre Cubillo, Luis de la; Díaz Martínez, José Manuel; Dormido Canto, SebastiánThe advance in control engineering education needs well-designed studies that validate what methods and tools work best. This paper addresses the lack of empirical evidence supporting innovations in control engineering education by proposing a methodology that works at different abstraction levels. Hence, innovations' impact on students' performance can be statistically analyzed either globally or locally by examining competencies or fine-grained indicators, respectively. The article reports the application of the methodology for evaluating an interactive simulation tool, named LCSD, on 101 students at the Pontifical Catholic University of Valparaiso in Chile. According to the experimental results, LCSD is an effective free alternative to enhance the student's skills on control system analysis for our automatic control course. Also, some improvements have been identified for future LCSD versions.Publicación Diseño de un programa PID mediante aproximación a un controlador de respuesta plana(Revista de la Real Academia de Ciencias Exactas, 1985-01-01) Cruz García, Jesús Manuel de la; Guillén, J. M.; Dormido Canto, Sebastián; Aranda Almansa, JoaquínPublicación Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET(IOP Publishing, 2018-03-02) Murari, A.; Lungaroni, M.; Peluso, E.; Gaudio, P.; Vega, J.; Baruzzo, M.; Gelfusa, Michela; Contributors, JET.; Dormido Canto, SebastiánDetecting disruptions with sufficient anticipation time is essential to undertake any form of remedial strategy, mitigation or avoidance. Traditional predictors based on machine learning techniques can be very performing, if properly optimised, but do not provide a natural estimate of the quality of their outputs and they typically age very quickly. In this paper a new set of tools, based on probabilistic extensions of support vector machines (SVM), are introduced and applied for the first time to JET data. The probabilistic output constitutes a natural qualification of the prediction quality and provides additional flexibility. An adaptive training strategy 'from scratch' has also been devised, which allows preserving the performance even when the experimental conditions change significantly. Large JET databases of disruptions, covering entire campaigns and thousands of discharges, have been analysed, both for the case of the graphite and the ITER Like Wall. Performance significantly better than any previous predictor using adaptive training has been achieved, satisfying even the requirements of the next generation of devices. The adaptive approach to the training has also provided unique information about the evolution of the operational space. The fact that the developed tools give the probability of disruption improves the interpretability of the results, provides an estimate of the predictor quality and gives new insights into the physics. Moreover, the probabilistic treatment permits to insert more easily these classifiers into general decision support and control systems.Publicación Assessment of linear disruption predictors using JT-60U data(Elsevier, 2019-09) Vega, J.; Hernández del Olmo, Félix; Isayama, A.; Joffrin, E.; Matsunaga, G.; Suzuki, T.; Dormido Canto, SebastiánDisruptions are dangerous events in tokamaks that require mitigation methods to alleviate its detrimental effects. A prerequisite to trigger any mitigation action is the existence of a reliable disruption predictor. This article assesses a predictor that relates in a linear way consecutive samples of a single quantity (in particular, the magnetic perturbation time derivative signal has been used). With this kind of predictor, the recognition of disruptions does not depend on how large the signal amplitude is but on how large the signal increments are: small increments mean smooth plasma evolution whereas abrupt increments reflect a non-smooth evolution and potential risk of disruption. Results are presented with data from the JT-60U tokamak and high-beta discharges. Two training methods have been tested: a classical approach in which the more data for training the better and an adaptive method that starts from scratch. In both cases the success rate is about 95%. It should be noted that predictors based on signal increments and their adaptive versions can be of big interest for next devices such as JT-60SA or ITER.Publicación An analysisof models identification methods for high speed crafts(Journal of Maritime Research, 2005-01-01) Dormido Bencomo, Sebastián; Aranda Almansa, Joaquín; Muñoz Mansilla, María del Rocío; Dormido Canto, Sebastián; Díaz Martínez, José ManuelTwo different approaches of the system identification method have been proposed in order to estimate models for heave, pitch and roll dynamics of a high speed craft. Both of them resolve the identification subject as an optimization problem to fit the best model. The first approach uses genetic algorithms and nonlinear least squares with constraints methods applied in the frequency domain. The second one suggests a new parameterization which facilitates obtaining high quality starting values and avoids non-quadratic functions in the cost function. At last it is shown an example in which the two approximations are applied and compared.