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Aranda Escolástico, Ernesto

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0000-0003-0801-9286
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Aranda Escolástico
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Ernesto
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2014 - 2019162020 - 202413
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Mostrando 1 - 10 de 29
  • Miniatura
    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, Sebastián
    This 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.
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    Customized Online Laboratory Experiments: A General Tool and Its Application to the Furuta Inverted Pendulum [Focus on Education]
    (Institute of Electrical and Electronics Engineers (IEEE), 2019-09-17) Galán Vicente, Daniel; Chaos García, Dictino; Torre Cubillo, Luis de la; Aranda Escolástico, Ernesto; Heradio Gil, Rubén
    Because of online laboratories (labs), students can perform experimental activities from their mobile devices and/or computers. This article proposes an experimentation environment (EE) that extends the capabilities of interactive online labs with scripting language support. Thus, control engineering students can specify complex experiments, avoid routine tasks, and empirically test controllers they made themselves.
  • Miniatura
    Publicación
    Control of a chain pendulum: A fuzzy logic approach
    (Taylor and Francis Group, 2016-02-12) Aranda Escolástico, Ernesto; Guinaldo Losada, María; Santos, Matilde; Dormido Canto, Sebastián
    In this paper, we present a real application of computational intelligence. Fuzzy control of a non-linear rotary chain pendulum is proposed and implemented on real prototypes. The final aim is to obtain a larger region of attraction for the stabilization of this complex system, that is, a more robust controller. As it is well-known, fuzzy logic exploits the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost when dealing with complex systems. In this case, the control strategy is based on a Takagi-Sugeno fuzzy model of the strongly non-linear multivariable system. Simulation and experimental results on the real plant have been obtained and tested in a rotary inverted pendulum and in a double rotary inverted pendulum. They have been compared to other feedback control strategies such as Full State Feedback or Linear Quadratic Regulator with encouraging results. Fuzzy control allows to enlarge the stability region of control. Indeed, the region of attraction and therefore the stabilization has been enlarged up to over 17% for the real system.
  • Miniatura
    Publicación
    Asynchronous periodic event-triggered control with dynamical controllers
    (Elsevier, 2018-04-20) Aranda Escolástico, Ernesto; Rodríguez, Carlos; Guinaldo Losada, María; Guzmán, José Luis; Dormido Canto, Sebastián
    In this work, we study a networked control system under a periodic eventtriggered control strategy. In addition, the input and the output of the system are sampled with different rates, which enables to obtain a compromise between performance and waste of communication resources. Stability analysis and L2-gain analysis are carried out through Lyapunov-Krasovskii techniques. Simulation results of a quadruple-tank process show the benefits of the approach.
  • Miniatura
    Publicación
    Design of periodic event-triggered control for polynomial systems: A delay system approach
    (Elsevier, 2017-10-17) Aranda Escolástico, Ernesto; Abdelrahim, M.; Guinaldo Losada, María; Dormido Canto, Sebastián; Heemels, W.P.M.H.
    Event-triggered control is a control strategy which allows the savings of communication resources in networked control systems. In this paper, we are interested in periodic eventtriggering mechanisms in the sense that the triggering condition is only verified at predefined periodic sampling instants, which automatically ensures that Zeno behavior does not occur. We consider the case where both the output measurement and the control input are transmitted asynchronously using two independent triggering conditions. The developed result is dedicated to a class of nonlinear systems, where both the plant model and the feedback law can be described by polynomial functions. The overall problem is modeled and analyzed in the framework of time-delay systems, which allows to derive sum-of-squares (SOS) conditions to guarantee the global asymptotic stability in terms of the sampling period and the parameters of the triggering conditions. The approach is illustrated on a nonlinear numerical example.
  • Miniatura
    Publicación
    Decoupled feedforward-feedback periodic event-triggered control for disturbance rejection
    (Elsevier, 2021-04-14) Aranda Escolástico, Ernesto; Guinaldo Losada, María; Guzmán, José Luis; Dormido Canto, Sebastián
    In this paper, feedforward and feedback controllers are studied considering decoupled periodic event-triggering mechanisms for output and disturbance sensors. Stability and robustness conditions for linear systems are obtained considering transportation delays and actuator saturation following the Lyapunov-Krasovskii procedure. A numerical example shows that the proposed control strategy reduces the communication between sensors and controller significantly, while the system performance is not deteriorated.
  • Miniatura
    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/0000-0002-9640-2658
    In 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.
  • Miniatura
    Publicación
    A bibliometric analysis of off-line handwritten document analysis literature (1990–2020)
    (Elsevier, 2022-05) Ruiz Parrado, Victoria; Vélez, José F.; Heradio Gil, Rubén; Aranda Escolástico, Ernesto; Sánchez Ávila, Ángel
    Providing computers with the ability to process handwriting is both important and challenging, since many difficulties (e.g., different writing styles, alphabets, languages, etc.) need to be overcome for addressing a variety of problems (text recognition, signature verification, writer identification, word spotting, etc.). This paper reviews the growing literature on off-line handwritten document analysis over the last thirty years. A sample of 5389 articles is examined using bibliometric techniques. Using bibliometric techniques, this paper identifies (i) the most influential articles in the area, (ii) the most productive authors and their collaboration networks, (iii) the countries and institutions that have led research on the topic, (iv) the journals and conferences that have published most papers, and (v) the most relevant research topics (and their related tasks and methodologies) and their evolution over the years.
  • Miniatura
    Publicación
    Event–Based Feedforward Control of Linear Systems with input Time–Delay
    (Sciendo, 2019-09-28) Rodríguez, Carlos; Aranda Escolástico, Ernesto; Guinaldo Losada, María; Guzmán, José Luis; Dormido Canto, Sebastián
    This paper proposes a new method for the analysis of continuous and periodic event-based state-feedback plus static feedforward controllers that regulate linear time invariant systems with time delays. Measurable disturbances are used in both control law and triggering condition to provide better disturbance attenuation. Asymptotic stability and L2-gain disturbance rejection problems are addressed by means of Lyapunov-Krasovskii functionals leading to performance conditions that are expressed in terms of linear matrix inequalities. The proposed controller obtains better disturbance rejection and a reduction in the number of transmissions with respect to other robust event-triggered controllers in the literature.
  • Miniatura
    Publicación
    Mobile Robot Navigation Based on Embedded Computer Vision
    (MDPI, 2023) Marroquín, Alberto; García, Gonzalo; Fábregas Acosta, Ernesto; Aranda Escolástico, Ernesto; Farias, Gonzalo; https://orcid.org/0000-0001-6354-0520; https://orcid.org/0000-0001-9968-960X; https://orcid.org/0000-0003-2186-4126
    The current computational advance allows the development of technological solutions using tools, such as mobile robots and programmable electronic systems. We present a design that integrates the Khepera IV mobile robot with an NVIDIA Jetson Xavier NX board. This system executes an algorithm for navigation control based on computer vision and the use of a model for object detection. Among the functionalities that this integration adds to the Khepera IV in generating guided driving are trajectory tracking for safe navigation and the detection of traffic signs for decision-making. We built a robotic platform to test the system in real time. We also compared it with a digital model of the Khepera IV in the CoppeliaSim simulator. The navigation control results show significant improvements over previous works. This is evident in both the maximum navigation speed and the hit rate of the traffic sign detection system. We also analyzed the navigation control, which achieved an average success rate of 93%. The architecture allows testing new control techniques or algorithms based on Python, facilitating future improvements.