Persona: Dormido Canto, Sebastián
Cargando...
Dirección de correo electrónico
ORCID
0000-0001-7652-5338
Fecha de nacimiento
Proyectos de investigación
Unidades organizativas
Puesto de trabajo
Apellidos
Dormido Canto
Nombre de pila
Sebastián
Nombre
14 resultados
Resultados de la búsqueda
Mostrando 1 - 10 de 14
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 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 The Ball and Beam System: A Case Study of Virtual and Remote Lab Enhancement With Moodle(IEEE (Institute of Electrical and Electronics Engineers), 2015-06-10) Torre Cubillo, Luis de la; Guinaldo Losada, María; Heradio Gil, Rubén; Dormido Canto, SebastiánWeb-based labs are key tools for distance education that help to illustrate scientific phenomena, which require costly or difficult-to-assemble equipment. Easy Java Simulations (EJS) is an authoring tool that speeds up the creation of these kind of labs. An excellent proof of the EJS potential is the open source physics (OSP) repository, which hosts hundreds of free EJS labs. Learning management systems, such as Moodle, provide social contexts where students interact with each other. The work described in this paper looks for the synergy of both tools, EJS and Moodle, by supporting the deployment of EJS labs into Moodle and thus enriching them with social features (e.g., chat, forums, and videoconference). To test this approach, the authors have created the ball and beam lab, which helps students of automatic control engineering to train different advanced techniques (robust, fuzzy, and reset control), and compare their performance in relation to a conventional proportional-integral-derivative control.Publicación Open and Low-Cost Virtual and Remote Labs on Control Engineering(Institute of Electrical and Electronics Engineers, 2015-06-15) Sáenz Valiente, Jacobo; Chacón; Jesús; Torre Cubillo, Luis de la; Antonio Visioli; Dormido Canto, SebastiánThis paper presents an open course in the University Network of Interactive Laboratories, which offers several virtual and remote laboratories on automatic control, accessible to anyone. All the details on one of these labs (a two electric coupled drives system that allows performing control practices in a 2 × 2 MIMO system with industrial applications) and the activities that can be performed with it are given. We use a low-cost solution for developing the virtual and remote labs shared in this open course, based on the use of a free authoring tool Easy Java/Javascript Simulations (EJsS) for building the laboratories' user interfaces and a cheap development platform board (BeagleBone Black). The virtual and remote labs are deployed into a free Learning Management System (Moodle) Web environment that facilitates their management and maintenance.Publicación The photoelectric effect and study of the diffraction of light: Two new experiments in UNILabs virtual and remote laboratories network(Società Italiana di Fisica, 2016-02-12) Sánchez Fernández, Juan Pedro; Sáenz Valiente, Jacobo; Torre Cubillo, Luis de la; Carreras, Carmen; Yuste, Manuel; Heradio Gil, Rubén; Dormido Canto, SebastiánThis work describes two experiments: “study of the diffraction of light: Fraunhofer approximation” and “the photoelectric effect”. Both of them count with a virtual, simulated, version of the experiment as well as with a real one which can be operated remotely. The two previous virtual and remote labs (built using Easy Java(script) Simulations) are integrated in UNILabs, a network of online interactive laboratories based on the free Learning Management System Moodle. In this web environment, students can find not only the virtual and remote labs but also manuals with related theory, the user interface description for each application, and so on.Publicación Virtual and Remote Labs in Control Education: a Survey(Elsevier, 2016-11-14) Heradio Gil, Rubén; Torre Cubillo, Luis de la; Dormido Canto, SebastiánVirtual and remote labs have been around for almost twenty years and while they have been constantly gaining popularity since their appearance, there are still many people in the control education community who either do not know many details about them or do not know them at all. What are their benefits? Which examples of virtual and remote labs for control education can be found in the Internet and how spread and popular are they? What are the current trends and issues in the implementation and deployment of these tools? And the future ones? These and others are some of the questions we answer in this paper, trying to bring the attention of the control education community to these tools which, we believe, are meant to have an increasing importance and relevance for the 21st century students.Publicación What remote labs can do for you(AIP Publishing, 2016-04-01) Torre Cubillo, Luis de la; Sánchez Fernández, Juan Pedro; Dormido Canto, SebastiánThe Internet of Things (IoT) is the network of physical devices connected to the internet. Online connections enable users to remotely monitor the devices and their surroundings or to actively control them through sensors and actuators. As the technology has progressed, the importance of the IoT has grown tremendously. According to the McKinsey Global Institute, the IoT’s annual economic impact could reach $11 trillion by 2025. That figure represents about 10% of today’s world economy.1 Bullish sounding at first, the prediction is not so ridiculous if one stops to think about how deeply internet technologies have already penetrated today’s society. Consider, for example, mobile devices—those smartphones and tablets everybody carries nowadays. A typical modern smartphone has numerous sensors that allow it to capture the device’s orientation, location, ambient light conditions, and much more. And it is frequently connected to the internet. A world filled with such internet-connected devices opens...Publicación Adding automatic evaluation to interactive virtual labs(Taylor and Francis Group, 2015-04-07) Farias, Gonzalo; David Muñoz de la Peña; Fabio Gómez-Estern; Torre Cubillo, Luis de la; Gómez Sánchez, Carlos; Dormido Canto, SebastiánAutomatic evaluation is a challenging field that has been addressed by the academic community in order to reduce the assessment workload. In this work we present a new element for the authoring tool Easy Java Simulations (EJS). This element, which is named automatic evaluation element (AEE), provides automatic evaluation to virtual and remote laboratories built with EJS by using the server application Goodle grading management system (GMS). The integration of both tools entitles a professor to create interactive virtual and remote laboratories and automatically evaluate the work of their students. As a test bed two case studies are presented; a non-linear controller design virtual laboratory used in an advanced control master course and a servomechanism virtual laboratory used in an undergraduate basic control course.Publicación Automated assessment and monitoring support for competency-based courses(IEEE Xplore, 2019-03-28) Vargas, Héctor; Heradio Gil, Rubén; Chacón, Jesús; Torre Cubillo, Luis de la; Farias, Gonzalo; Galán, Daniel; Dormido Canto, SebastiánCompetency-based education is becoming increasingly adopted by higher education institutions all over the world. This paper presents a framework that assists instructors in this pedagogical paradigm and its corresponding open-source implementation. The framework supports the formal definition of competency assessment models and the students' evaluation under these models. It also provides distinct learning analytics for identifying course shortcomings and validating corrective actions instructors have introduced in a course. Finally, this paper reports the benefits of applying our framework to an engineering course at the Pontifical Catholic University, Valparaíso, Chile for three years.