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Dormido Canto, Sebastián

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Dormido Canto
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Mostrando 1 - 9 de 9
  • 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.
  • Publicación
    Periodic Event-Triggered Swing-Up Control of the Inverted Pendulum
    (Springer, 2016) Aranda Escolástico, Ernesto; Gordillo, F.; Guinaldo Losada, María; Dormido Canto, Sebastián; Garrido, Paulo; Soares, Filomena; Moreira, António Paulo
    In this paper, a novel strategy for swinging up an inverted pendulum is proposed. The strategy combines an energy-based control law with an event triggering condition to minimize transmissions, protect actuators and save energy. In addition, the strategy is periodic event-triggered, which provides two main advantages: An analytical way to determine a priori the sampling period to guarantee the appropriate behavior and an easy implementation in real prototypes.
  • 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.
  • Publicación
    A novel approach for periodic event-triggering based on general quadratic functions
    (IEEE, 2015) Aranda Escolástico, Ernesto; Guinaldo Losada, María; Dormido Canto, Sebastián
    This paper is concerned with periodic event-triggered control, which avoids the continuous monitoring of the state of the system while reducing the number of control updates. A new form of quadratic event-triggering condition is proposed to enlarge the inter-event times. The asymptotic stability criteria is analyzed by means of Lyapunov-Krasovskii functionals and the stability condition is expressed in terms of linear matrix inequalities. Simulation and experimental results are given to show the effectiveness of the proposed method.
  • Publicación
    Stability of output event-based control systems through quadratic trigger functions
    (IEEE, 2015-10) Aranda Escolástico, Ernesto; Guinaldo Losada, María; Dormido Canto, Sebastián
    The design of event-based controllers for systems with unknown states is investigated in this paper. The case of general quadratic triggering conditions that depend on the estimated state given by a Luenberger observer is studied. Novel frameworks are proposed for continuous and periodic event-based control providing criteria for asymptotic stability with the form of Linear Matrix Inequalities (LMIs). The frameworks are tested in simulation through a challenging system, such as the double rotary inverted pendulum.
  • Publicación
    Fuzzy logic vs analytic controllers on a non-linear system
    (World Scientific, 2014) Aranda Escolástico, Ernesto; Guinaldo Losada, María; Dormido Canto, Sebastián; Santos, M.
    In this paper, an intelligent control of the rotary inverted pendulum by fuzzy logic is presented. Specifically, the design consists of a Takagi-Sugeno fuzzy model to approximate the non-linear system to a succession of points where a linear system is described. A feedback gain is obtained that allows the stabilization of the inverted pendulum in a higher attractor than in the case of analytic Full State Feedback controller or Linear Quadratic Regulator.
  • 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.
  • 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.
  • 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.