Persona: Romero Hortelano, Miguel
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Romero Hortelano
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Miguel
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Publicación Low speed hybrid generalized predictive control of a gasoline-propelled car(Elsevier, 2015-07) Madrid, Ángel P. de; Milanés, V.; Romero Hortelano, Miguel; Mañoso Hierro, María CarolinaLow-speed driving in traffic jams causes significant pollution and wasted time for commuters. Additionally, from the passengers׳ standpoint, this is an uncomfortable, stressful and tedious scene that is suitable to be automated. The highly nonlinear dynamics of car engines at low-speed turn its automation in a complex problem that still remains as unsolved. Considering the hybrid nature of the vehicle longitudinal control at low-speed, constantly switching between throttle and brake pedal actions, hybrid control is a good candidate to solve this problem. This work presents the analytical formulation of a hybrid predictive controller for automated low-speed driving. It takes advantage of valuable characteristics supplied by predictive control strategies both for compensating un-modeled dynamics and for keeping passengers security and comfort analytically by means of the treatment of constraints. The proposed controller was implemented in a gas-propelled vehicle to experimentally validate the adopted solution. To this end, different scenarios were analyzed varying road layouts and vehicle speeds within a private test track. The production vehicle is a commercial Citroën C3 Pluriel which has been modified to automatically act over its throttle and brake pedals.Publicación Teaching cloud computing using Web of Things devices(IEEE, 2018) Carrillo, J. Cano; Pastor Vargas, Rafael; Romero Hortelano, Miguel; Tobarra Abad, María de los Llanos; Hernández Berlinches, RobertoThis work deals with the teaching of the innovative technology, named cloud computing, using the Web of Things (WoT) platform model based on web services. These services are designed and programmed by the students to handle embedded hardware devices (things) on Internet. The course is carried out within a makerspace where our students can take advantage of valuable on-line tools which are available in a collaborative learning environment. The introduction of these innovative technological elements improves the students' interest and engagement leading to achieve better learning results.Publicación An Internet of Living Things based device for a better understanding of the state of the honey bee population in the hive during the winter months(Elsevier, 2023-09) Aguirre Arribas, Fernando; Romero Hortelano, MiguelMonitoring beekeeping processes is a research area that is increasingly attracting interest, not only in order to maximize honey productivity but also to preserve the bee’s health and its environment. This paper presents a low-cost low-invasive system that uses IoT technologies as MQ Telemetry Transport, MQTT, and Node-RED, in an open hardware platform easily reproducible and royalty-free, to capture in real-time valuable information in form of a 3D-grid to show how the bees are located within the hive during the winter months using spatial thermal data without the need to open the hive up, thereby preventing manual manipulation by the beekeeper which puts the bees welfare in jeopardy. This system can reveal unexpected or little-known bee behaviors, facilitating a more comprehensive analysis of the health and strength of a bee colony to help beekeepers make the most appropriate decisions to ensure the productivity of their hive.Publicación Fundamentals of the MPC approach to stop-and-go Adaptive Cruise Control(IEEE, 2014) Pérez de Madrid y Pablo, Ángel; Mañoso Hierro, María Carolina; Romero Hortelano, MiguelIn this paper we review the fundamentals of Adaptive Cruise Control / Stop-and-Go systems based on model predictive control theory. Driver’s decisions can be formulated as few very general constraints, for which the mathematical expression is derived in depth. The resulting control system can adjust a car velocity to maintain an intervehicle security distance, avoid collisions, stop and eventually accelerate, and observe other considerations such as passengers’ comfort without human intervention.Publicación Explicit predictive control of a hybrid system: A case study: Control of the longitudinal dynamics of a comercial vehicle at very low speed(IEEE, 2015) Mañoso Hierro, María Carolina; Pérez de Madrid y Pablo, Ángel; Romero Hortelano, MiguelMany complex systems of theoretical and practical interest can be modeled as hybrid systems, i.e., systems that exhibit both continuous and discrete dynamics. This work focuses on the explicit predictive control of hybrid systems using two free Matlab/Simulink toolboxes designed specifically to synthesize and simulate controllers for this kind of systems. A case study is considered. The system is modeled, from experimental results, after the longitudinal dynamics of a commercial car at low speed. Simulation results are analyzed and a comparative study of both toolboxes is carried outPublicación Fractional Generalized Predictive Control Strategy With Fractional Constraints Handling(IEEE, 2022-12-08) Romero Hortelano, Miguel; Mañoso Hierro, María CarolinaThe control strategies based on the methodology known as Model–based Predictive Control (MPC) have been developed and widely adopted to control real plants. This is mainly due to their intrinsic ability to handle constrains and their capacity to predict and optimize the future behavior of the process using a dynamical model of the plant. On the other hand, the mathematical tool known as fractional calculus has been currently used for reformulating the predictive control strategies to reach a better performance adding new control parameters. This work extends the use of fractional operators for the constraints in one type of fractional predictive control strategy known as Fractional–order Generalized Predictive Control (FGPC), interpreting and discussing the results. In addition, a new method to soften constraints using fractional operator is proposed and illustrated with examples, even to adjust the final response of the system. A practical tuning of the rest of controller parameters with the help of a well–known mathematical software is also included to make use of the beneficial characteristics of this fractional predictive formulation.Publicación A Scorewriter Application using Electrooculography-based Human-Computer Interface(IEEE, 2022) Pérez–Roa, Enrique M.; Mañoso Hierro, María Carolina; Pérez de Madrid y Pablo, Ángel; Romero Hortelano, MiguelAt present, many projects are being developed with human-computer interfaces in different areas but few are related to music. In this work we present a scorewriter application that uses electrooculography as input interface. For one side, the hardware used to record the electrooculogram consists mainly of a low-cost Arduino based microcontroller board that will receive the signal from the electrodes, collect it and send it via USB to the computer. On the other hand, we use free software to implement the application running on the computer. This application is in charge of processing, classifying (using a neural network) and translating the signal into commands to finally build the song and play it. The modularity of the application allows it to be easily modified for other tasks using the same interface. Due to the nature of the application it is very suitable for entertainment. Furthermore, due to the characteristics of its interface it is also suitable for people with reduced mobility who want to easily perform simple music composition tasks.Publicación Control predictivo de orden fraccionario(Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Sistemas de Comunicación y Control, 2010-11-22) Romero Hortelano, Miguel; Pérez de Madrid y Pablo, ÁngelEl cálculo fraccionario es una disciplina matemática que tiene su origen en la extensión del significado del concepto matemático de diferencial dny/dxn, cuando el orden n puede tomar cualquier valor fraccional, irracional o complejo. En los últimos años la importancia del cálculo fraccionario, en campos de investigación diferentes al puramente matemático, ha ido incrementándose significativamente. Podemos encontrar aplicaciones dentro del campo de la física, modelado mecánico de fluidos, comportamiento viscoelástico de algunos materiales, procesado de señal, etc.Publicación Maternal Supplementation with N-Acetylcysteine Modulates the Microbiota-Gut-Brain Axis in Offspring of the Poly I:C Rat Model of Schizophrenia.(MDPI, 2023-04-20) Casquero Veiga, M.; Fernández, J.; Lamanna Rama, N.; Gómez Rangel, Vanessa; Gálvez Robleño, Carlos; Villar, C. J.; Lombó, F.; Abalo, R.; Desco, Manuel; Soto Montenegro, M. L.; Romero Hortelano, Miguel; Santa Marta Pastrana, Cristina MaríaThe microbiota-gut-brain axis is a complex interconnected system altered in schizophrenia. The antioxidant N-acetylcysteine (NAC) has been proposed as an adjunctive therapy to antipsychotics in clinical trials, but its role in the microbiota-gut-brain axis has not been sufficiently explored. We aimed to describe the effect of NAC administration during pregnancy on the gut-brain axis in the offspring from the maternal immune stimulation (MIS) animal model of schizophrenia. Pregnant Wistar rats were treated with PolyI:C/Saline. Six groups of animals were studied according to the study factors: phenotype (Saline, MIS) and treatment (no NAC, NAC 7 days, NAC 21 days). Offspring were subjected to the novel object recognition test and were scanned using MRI. Caecum contents were used for metagenomics 16S rRNA sequencing. NAC treatment prevented hippocampal volume reduction and long-term memory deficits in MIS-offspring. In addition, MIS-animals showed lower bacterial richness, which was prevented by NAC. Moreover, NAC7/NAC21 treatments resulted in a reduction of proinflammatory taxons in MIS-animals and an increase in taxa known to produce anti-inflammatory metabolites. Early approaches, like this one, with anti-inflammatory/anti-oxidative compounds, especially in neurodevelopmental disorders with an inflammatory/oxidative basis, may be useful in modulating bacterial microbiota, hippocampal size, as well as hippocampal-based memory impairments.