Persona:
Dormido Canto, Sebastián

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0000-0001-7652-5338
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Dormido Canto
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Sebastián
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2016 - 201932020 - 20212
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Mostrando 1 - 5 de 5
  • Miniatura
    Publicación
    A novel approach to periodic event-triggered control: Design and application to the inverted pendulum
    (ELSEVIER, 2016) Aranda Escolástico, Ernesto; Guinaldo Losada, María; Gordillo, Francisco; Dormido Canto, Sebastián; https://orcid.org/0000-0003-4252-944X
    In this paper, periodic event-triggered controllers are proposed for the rotary inverted pendulum. The control strategy is divided in two steps: swing-up and stabilization. In both cases, the system is sampled periodically but the control actions are only computed at certain instances of time (based on events), which are a subset of the sampling times. For the stabilization control, the asymptotic stability is guaranteed applying the Lyapunov–Razumikhin theorem for systems with delays. This result is applicable to general linear systems and not only to the inverted pendulum. For the swing-up control, a trigger function is provided from the derivative of the Lyapunov function for the swing-up control law. Experimental results show a significant improvement with respect to periodic control in the number of control actions.
  • Miniatura
    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/0000-0002-9640-2658
    Several 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.
  • Miniatura
    Publicación
    Underwater coverage with a mobile robot of limited control authority
    (IEEE, 2018) Aranda Escolástico, Ernesto; Cortes, Jorge; Guinaldo Losada, María; Dormido Canto, Sebastián; https://orcid.org/0000-0001-9582-5184
    This work considers the coverage of underwater areas with a mobile robot with constrained control and communication capabilities. While underwater, the robot can control its depth but it is subject to flow in the other directions. While on the surface, it can move (essentially) freely. The aim of the work is the coverage of the areas with the minimum waste of resources. For that, we propose a two-part algorithm, where one part is a genetic algorithm and the other part is an algorithm based on Netwton's method. Numerical simulations are provided to illustrate the efficiency of the algorithm.
  • Miniatura
    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/0000-0003-0898-3462
    This 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.
  • Miniatura
    Publicación
    Optimal Control for Aperiodic Dual-Rate Systems With Time-Varying Delays
    (MDPI, 2018) Aranda Escolástico, Ernesto; Salt, Julián; Guinaldo Losada, María; Chacón Sombría, Jesús; Dormido Canto, Sebastián; 0000-0003-0898-3462
    In this work, we consider a dual-rate scenario with slow input and fast output. Our objective is the maximization of the decay rate of the system through the suitable choice of the n-input signals between two measures (periodic sampling) and their times of application. The optimization algorithm is extended for time-varying delays in order to make possible its implementation in networked control systems. We provide experimental results in an air levitation system to verify the validity of the algorithm in a real plant.