Persona: Aranda Escolástico, Ernesto
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Aranda Escolástico
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Ernesto
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Publicación Revisiting the simplified IMC tuning rules for low-order controllers: Feedforward controller(The Institution of engineering and technology, 2020) Rodríguez, Carlos; Aranda Escolástico, Ernesto; Guzmán, José Luis; Berenguel, Manuel; Hägglund, ToreIn this work, the load disturbance rejection problem is studied. Specifically, feedforward compensators are considered to reduce the effect of the disturbance in the process’ performance. We propose simple tuning rules that can be easily applied to a wide range of processes improving the response against the disturbance. The improvement of the proposed method is measured through different performance indices in several simulation examples.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, SebastiánIn 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.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, ÁngelProviding 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.Publicación Revisiting the simplified IMC tuning rules for low-order controllers: Novel 2DoF feedback controller(The Institution of Engineering and Technology, 2020) Rodríguez, Carlos; Aranda Escolástico, Ernesto; Guzmán, José Luis; Berenguel, Manuel; Hägglund, ToreThis paper revisites the direct synthesis tuning method of continuous-time low-order controllers, and specially PID controllers, for control of time-delayed single-input single-output processes. A setpoint prefilter is included to improve the servo response and integrating load disturbances are accounted for. Robustness is addressed by the feedback controller to obtain the desired maximum sensitivity value. Similar results in step disturbance compensation are obtained with simpler analytical tuning rules when compared to recently reported methods. However, the proposed procedure enables to compensate integrating load disturbances, which are not handled in the other methods.Publicación 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/0000-0001-6493-6113We 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.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, 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 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 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/0000-0003-2186-4126The 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.Publicación Distributed targeted distance-based formation control for mechanical systems(IEEE Xplore, 2020-07-20) Aranda Escolástico, Ernesto; Colombo, Leonardo J.; Guinaldo Losada, MaríaThis paper studies the problem of distributed targeted distance-based formation control for mechanical systems. The problem consists on finding a distributed control law such that if each agent observes a convex set as a targeted set, and also the relative position of their nearest neighbors, then the agents must achieve the desired formation in these sets while its velocities are driven to zero. We study the problem for agents with a time-delay communication in the measurements of the relative positions and where the motion of each agent is determined by a Lagrangian function. Simulation are given to validate the theoretical result.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.