Roberto Ramírez-Mendoza

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Lung cancer is the leading cause of death from malignant diseases worldwide, with the non-small cell (NSCLC) subtype accounting for the majority of cases. NSCLC is characterized by frequent genomic imbalances and copy number variations (CNVs), but the epigenetic aberrations that are associated with clinical prognosis and therapeutic failure remain not(More)
Two techniques are combined during the design of an optimal controller: Linear Matrix Inequalities (LMIs) and Multi-objective Genetic Algorithms (MOGAs). In this paper the LMI optimization technique is used to obtain a single controller while MOGA is used to convert the controller design into a multi-objective optimization procedure. The combination of(More)
Federico Ávila-Moreno, Leonel Armas-López, Aldo M. Álvarez-Moran, Zoila LópezBujanda, Blanca Ortiz-Quintero, Alfredo Hidalgo-Miranda, Francisco Urrea-Ramírez, R. María Rivera-Rosales, Eugenia Vázquez-Manríquez, Erika Peña-Mirabal, José MoralesGómez, Juan C. Vázquez-Minero, José L. Téllez-Becerra, Roberto Ramírez-Mendoza, Alejandro Ávalos-Bracho, Enrique(More)
Reported researches on semi-active suspension neglect the actuador dynamics, missing important information that can deteriorate the suspension's performance. The present research proposes a new semi-active suspension model with a magnetorheological damper, including its dynamics. Three control approaches are applied to this suspension model to improve(More)
In this paper we derive both LTI (Linear Time Invariant) and LPV (Linear Parameter Varying) controllers according to the H∞ methodology, based on a simple two degreeof-freedom quarter vehicle model using an industrial criterion to handle the compromise between comfort and suspension deflection. As such a model is very simplified, a validation of these(More)
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