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
11 resultados
Resultados de la búsqueda
Mostrando 1 - 10 de 11
Publicación An event-based adaptation of the relay feedback experiment for frequency response identification of stable processes(Elsevier, 2023-04-13) Sánchez Moreno, José; Torre Cubillo, Luis de la; Chacón Sombría, Jesús; Dormido Canto, Sebastián; Elsevier; https://orcid.org/0000-0003-0898-3462An event-based modification of the classical relay feedback experiment without the inclusion of additional elements (integrator, time delay, . . . ) for identification of the spectrum of stable processes between zero and the phase cross-over frequency is presented. By inserting an event-based sampler in the control loop, the natural behaviour of a classical relay is simulated and the system is forced to work in two modes. The event-based sampler activates the first mode by sending control actions to the process every time the error signal crosses zero; this mode is to discover the approximated value of the cross-over frequency ω180◦ . During the second mode, the event-based sampler sends samples to the process simulating that the error signal crosses zero at ω180◦ /N where N is the number of points to identify in the range 0 ≤ ω ≤ ω180◦ . One advantage of this procedure is that the logic used in an already existing relay feedback experiment to fit a transfer function model or tune a controller could be maintained just replacing the relay block by the event-based sampler block presented in the paper. Simulations and experiments with different processes and in presence of noise demonstrate the effectivity of the procedure.Publicación Stability and Synchronization of Switched Multi-Rate Recurrent Neural Networks(IEEE, 2021) Ruiz, Victoria; Aranda Escolástico, Ernesto; Salt, Julián; Dormido Canto, Sebastián; https://orcid.org/0000-0003-2993-7705; https://orcid.org/0000-0002-9640-2658Several designs of recurrent neural networks have been proposed in the literature involving different clock times. However, the stability and synchronization of this kind of system have not been studied. In this paper, we consider that each neuron or group of neurons of a switched recurrent neural network can have a different sampling period for its activation, which we call switched multi-rate recurrent neural networks, and we propose a dynamical model to describe it. Through Lyapunov methods, sufficient conditions are provided to guarantee the exponential stability of the network. Additionally, these results are extended to the synchronization problem of two identical networks, understanding the synchronization as the agreement of both of them in time. Numerical simulations are presented to validate the theoretical results. The proposed method might help to design more efficient and less computationally demanding neural networks.Publicación 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 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 Control education for societal-scale challenges: A community roadmap(ELSEVIER, 2023-03-17) Rossiter, John Anthony; Cassandras, Christos G.; Hespanha, João; Dormido Canto, Sebastián; Torre Cubillo, Luis de la; Ranade, Gireeja; Visioli, Antonio; Hedengren, John; Murray, Richard M.; Antsaklis, Panos; Lamnabhi Lagarrigue, Francoise; Parisini, ThomasThis article focuses on extending, disseminating and interpreting the findings of an IEEE Control Systems Society working group looking at the role of control theory and engineering in solving some of the many current and future societal challenges. The findings are interpreted in a manner designed to give focus and direction to both future education and research work in the general control theory and engineering arena, interpreted in the broadest sense. The paper is intended to promote discussion in the community and also provide a useful starting point for colleagues wishing to re-imagine the design and delivery of control-related topics in our education systems, especially at the tertiary level and beyond.Publicación Robust switched control of an air levitation system with minimum sensing(ELSEVIER, 2020) Chaos García, Dictino; Chacón, Jesús; Aranda Escolástico, Ernesto; Dormido Canto, Sebastián; https://orcid.org/0000-0003-0898-3462This work studies the control problem of an air levitation system with limited sensing capabilities. We propose a simple but considerably robust switched controller. We prove that the output of the system is globally uniformly ultimately bounded with a bound as small as we desire and we show through simulations and real experiments the robustness of the controller in the presence of disturbances, model uncertainties and parameter tuning.Publicación Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells(Elsevier, 2020-06) González, Santiago G.; Dormido Canto, Sebastián; Sánchez Moreno, JoséThe advances in Information Technologies (ITs) are providing Industrial Control Systems (ICS) with a great capacity for interconnection and adaptability. However, the use of communication networks makes ICS highly vulnerable. Consequently, it is essential to develop methodologies for the identification and subsequent classification of the ICS that intervene in critical infrastructure assets with any level of complexity, scalability and heterogeneity. The System and Infrastructure of Knowledge for Real Experimentation by means of Cells of Industrial Automation (SIKRECIA), described in this work, provides new capabilities for research, development, simulation and testing of the functioning of these systems, and the ability to foresee the behavior of a specific system in industrial production. The scenarios recreated through SIKRECIA have the ability to anticipate new threats that affect the ICS of critical infrastructures. Using SIKRECIA, a specific vulnerability of a PLC has been verified through the engineering programmed for the management of a traffic light control system. The results obtained demonstrate the high dependence between IT and OT (Operation Technologies) systems and therefore the importance of being able to recreate those environments before entering into operation. As SIKRECIA is an open system, it can use components from different industrial manufacturers to cover the existing architectures in the process industry.Publicación Disruption prediction with artificial intelligence techniques in tokamak plasmas(Springer Nature, 2022-06-06) Vega, J.; Murari, A.; Rattá, Giuseppe A.; Gelfusa, Michela; Contributors, JET.; Dormido Canto, SebastiánIn nuclear fusion reactors, plasmas are heated to very high temperatures of more than 100 million kelvin and, in so-called tokamaks, they are confined by magnetic fields in the shape of a torus. Light nuclei, such as deuterium and tritium, undergo a fusion reaction that releases energy, making fusion a promising option for a sustainable and clean energy source. Tokamak plasmas, however, are prone to disruptions as a result of a sudden collapse of the system terminating the fusion reactions. As disruptions lead to an abrupt loss of confinement, they can cause irreversible damage to present-day fusion devices and are expected to have a more devastating effect in future devices. Disruptions expected in the next-generation tokamak, ITER, for example, could cause electromagnetic forces larger than the weight of an Airbus A380. Furthermore, the thermal loads in such an event could exceed the melting threshold of the most resistant state-of-the-art materials by more than an order of magnitude. To prevent disruptions or at least mitigate their detrimental effects, empirical models obtained with artificial intelligence methods, of which an overview is given here, are commonly employed to predict their occurrence—and ideally give enough time to introduce counteracting measures.Publicación A Study of Strategies for Developing Online Laboratories(IEEE, 2021-12-01) Sáenz Valiente, Jacobo; Torre Cubillo, Luis de la; Chacón Sombría, Jesús; Dormido Canto, SebastiánResearchers and teachers around the world have created newsoftware and hardware to develop, reuse, and deploy online laboratories (labs). However, due to the nature of labs, most of the available solutions depend greatly on where and how online labs can be used in the first place. Thus, there have been multiple design solutions and great technology combinations. In this study, we analyzed and studied the main obstacles in the online lab development and the alternatives of the technologies, means, methodologies, and approaches on creating online labs. The resulting analysis showed the advantages, disadvantages, and problems of each key component and attempted to explore the working combinations that ensure the usability, modularity, universality, accessibility, and reliability of online labs. In addition, we explored a general solution to take advantage of the benefits of the technologies involved in online labs and to fix or reduce the impacts of the arising problems when developing and deploying online labs.Publicación A novel feature engineering approach for high-frequency financial data(Elsevier, 2023-10) Mantilla, Pablo; Dormido Canto, SebastiánFeature engineering for high-frequency financial data based on constructing dynamic data subsets, defined by time intervals in which high-frequency trends occur, is proposed. These intervals are obtained through time series segmentation. This methodology allows us to extract and analyze variables by intraday trends as well as to feed artificial intelligence models to forecast response variables in future trends. Furthermore, to show how to use this feature engineering, this methodology is applied to estimate high-frequency volatility, duration and direction linked to future intraday trends, developing multiclass classification models based on the machine learning method extreme gradient boosting. Experimentation was conducted using high-frequency financial data from the Brazil Stock Exchange, corresponding to 206 trading days related to 20 listed assets from this financial market.