Persona:
Romero Hortelano, Miguel

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0000-0001-7923-8297
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Romero Hortelano
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Miguel
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2010 - 201922020 - 20232
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Nivel de acceso: info:eu-repo/semantics/openAccess × Autor: Romero Hortelano, Miguel ×

Resultados de la búsqueda

Mostrando 1 - 4 de 4
  • Miniatura
    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, Ángel
    El 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.
  • Miniatura
    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 Carolina
    Low-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.
  • Miniatura
    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, Miguel
    Monitoring 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.
  • Miniatura
    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, María Luisa; Romero Hortelano, Miguel; Santa Marta Pastrana, Cristina María
    The 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.