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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 - 2019152020 - 202413
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Autor: Aranda Escolástico, Ernesto × search.filters.applied.f.itemFacultad: E.T.S. de Ingeniería Informática ×

Resultados de la búsqueda

Mostrando 1 - 10 de 28
  • 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.
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    An Object-Oriented Library for Process Control Simulations in MATLAB
    (ELSEVIER, 2017) Rodríguez, Carlos; Guinaldo Losada, María; Aranda Escolástico, Ernesto; Guzmán, José L.
    This paper presents a library of MATLAB classes developed to provide a framework to allow performing easy and scalable process control simulations. The proposed object-oriented tool features the basic components of a control loop including: processes, controllers, sensors, actuators and connection links. The simulator can be configured to carry out simulations with continuous and/or discrete elements, and/or include event-triggered capabilities in a straightforward manner. The benefits of the proposed library are shown with the rapid development and simulation of a quadruple-tank system that is controlled by means of a PI controller.
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    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
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    Fuzzy logic vs analytic controllers on a non-linear system
    (World Scientific, 2014) Aranda Escolástico, Ernesto; Guinaldo Losada, María; Dormido Canto, Sebastián; Santos, Matilde
    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.
  • Miniatura
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    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
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    Periodic event-triggered targeted shape control of Lagrangian systems with discrete-time delays
    (ELSEVIER, 2021) Aranda Escolástico, Ernesto; Colombo, Leonardo; Guinaldo Losada, María; https://orcid.org/0000-0001-6493-6113
    We study the problem of periodic event-triggered targeted formation control for multi-agent Lagrangian systems. We assume that the equations of motion of each agent are derived from a Lagrangian function. Besides, each agent has information about a predefined convex set as a targeted set. The goal of the agents is to achieve the desired formation in the targeted sets, while the information is asynchronously shared by a periodic event-triggering specification, and there is also a time-delay in their communication. A novel distributed control law is proposed for the agents to reach the goal while their velocities are driven to zero. Applications and simulations are provided to validate the theoretical results.
  • 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
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    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.
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    Using Extended Logical Primitives for Efficient BDD Building
    (MDPI, 2020) Fernández Amoros, David José; Bra Gutiérrez, Sergio; Aranda Escolástico, Ernesto; Heradio Gil, Rubén
    Binary Decision Diagrams (BDDs) have been used to represent logic models in a variety of research contexts, such as software product lines, circuit testing, and plasma confinement, among others. Although BDDs have proven to be very useful, the main problem with this technique is that synthesizing BDDs can be a frustratingly slow or even unsuccessful process, due to its heuristic nature. We present an extension of propositional logic to tackle one recurring phenomenon in logic modeling, namely groups of variables related by an exclusive-or relationship, and also consider two other extensions: one in which at least n variables in a group are true and another one for in which at most n variables are true. We add XOR, atLeast-n and atMost-n primitives to logic formulas in order to reduce the size of the input and also present algorithms to efficiently incorporate these constructions into the building of BDDs. We prove, among other results, that the number of nodes created during the process for XOR groups is reduced from quadratic to linear for the affected clauses. the XOR primitive is tested against eight logical models, two from industry and six from Kconfig-based open-source projects. Results range from no negative effects in models without XOR relations to performance gains well into two orders of magnitude on models with an abundance of this kind of relationship.
  • Miniatura
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    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.