يعرض 1 - 10 نتائج من 16 نتيجة بحث عن '"Martinez, Sonia"', وقت الاستعلام: 0.98s تنقيح النتائج
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    الوصف: In this paper, we consider the computation of controlled invariant sets (CIS) of discrete-time nonlinear control affine systems. We propose an iterative refinement procedure based on polytopic inclusion functions, which is able to approximate the maximal controlled invariant set to within a guaranteed precision. In particular, this procedure allows us to guarantee the invariance of the resulting near-maximal CIS while also computing sets of control inputs that enforce the invariance. Further, we propose an accelerated version of this procedure which refines the CIS by computing backward reachable sets of individual components of set unions, rather than all at once. This reduces the total number of iterations required for convergence, especially when compared with existing methods. Finally, we compare our methods to a sampling-based approach and demonstrate the improved accuracy and faster convergence.
    Comment: 7 pages, submitted to CDC'23

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    الوصف: This paper is proposed to efficiently provide a convex approximation for the probabilistic reachable set of a dynamic system in the face of uncertainties. When the uncertainties are not limited to bounded ones, it may be impossible to find a bounded reachable set of the system. Instead, we turn to find a probabilistic reachable set that bounds system states with confidence. A data-driven approach of Kernel Density Estimator (KDE) accelerated by Fast Fourier Transform (FFT) is customized to model the uncertainties and obtain the probabilistic reachable set efficiently. However, the irregular or non-convex shape of the probabilistic reachable set refrains it from practice. For the sake of real applications, we formulate an optimization problem as Mixed Integer Nonlinear Programming (MINLP) whose solution accounts for an optimal $n$-sided convex polygon to approximate the probabilistic reachable set. A heuristic algorithm is then developed to solve the MINLP efficiently while ensuring accuracy. The results of comprehensive case studies demonstrate the near-optimality, accuracy, efficiency, and robustness enjoyed by the proposed algorithm. The benefits of this work pave the way for its promising applications to safety-critical real-time motion planning of uncertain systems.

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    الوصف: This paper considers the stabilization of unknown switched linear systems using data. Instead of a full system model, we have access to a finite number of trajectories of each of the different modes prior to the online operation of the system. On the basis of informative enough measurements, formally characterized in terms of linear matrix inequalities, we design an online switched controller that alternates between a mode detection phase and a stabilization phase. Since the specific currently-active mode is unknown, the controller employs the most recent online measurements to determine it by implementing computationally efficient tests that check compatibility with the set of systems consistent with the pre-collected measurements. The stabilization phase applies the stabilizing feedback gain corresponding to the identified active mode and monitors the evolution of the associated Lyapunov function to detect switches. When a switch is detected, the controller returns to the mode-detection phase. Under average dwell- and activation-time assumptions on the switching signal, we show that the proposed controller guarantees an input-to-state-like stability property of the closed-loop switched system. Various simulations illustrate our results.
    Comment: arXiv admin note: text overlap with arXiv:2207.14767

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    المصدر: 2022 IEEE 61st Conference on Decision and Control (CDC).

    الوصف: This work studies data-driven switched controller design for discrete-time switched linear systems. Instead of having access to the full system dynamics, an initialization phase is performed, during which noiseless measurements of the state and the input are collected for each mode. Under certain conditions on these measurements, we develop a stabilizing switched controller for the switched system. To be precise, the controller switches between identifying the active mode of the system and applying a predetermined stabilizing feedback. We prove that if the system switches according to certain specifications, this controller stabilizes the closed-loop system. Simulations on a network example illustrate our approach.

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    الوصف: We propose a new framework to solve online optimization and learning problems in unknown and uncertain dynamical environments. This framework enables us to simultaneously learn the uncertain dynamical environment while making online decisions in a quantifiably robust manner. The main technical approach relies on the theory of distributional robust optimization that leverages adaptive probabilistic ambiguity sets. However, as defined, the ambiguity set usually leads to online intractable problems, and the first part of our work is directed to find reformulations in the form of online convex problems for two sub-classes of objective functions. To solve the resulting problems in the proposed framework, we further introduce an online version of the Nesterov accelerated-gradient algorithm. We determine how the proposed solution system achieves a probabilistic regret bound under certain conditions. Two applications illustrate the applicability of the proposed framework.

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    المؤلفون: Fajardo Martinez, Sonia

    المصدر: Redined, Red de Información Educativa
    Ministerio de Educación, Cultura y Deporte (MECD)

    الوصف: Resumen basado en el de la publicación Resumen en inglés y catalán Monográfico con el título: Competencias, formación y buenas prácticas de los profesionales de la acción socioeducativa Las entidades del tercer sector social viven una época de cambio, deben cubrir más necesidades sociales y, a la vez, afrontar una disminución de recursos. La formación de los profesionales es una estrategia que ofrece grandes oportunidades, siempre que cumpla criterios de calidad (Dalmau, 2018). Se analiza la calidad de la formación que se implementa en las entidades sociales, y que reciben los profesionales voluntarios y remunerados, a partir de una serie de criterios como la realización de un proceso de detección de necesidades riguroso, la evaluación de los resultados, la planificación de recursos, etc. Mediante el paradigma interpretativo y una metodología mixta, se aplica un cuestionario a más de ciento diez entidades y dos grupos de discusión con veintiún expertos. Los resultados permiten constatar el aumento de la formación en el sector en los últimos años y la necesidad de mejorar su calidad. Así mismo, algunas propuestas de mejora son: elaborar planes de formación que respondan a los objetivos estratégicos de las entidades y al desarrollo de las competencias de los profesionales y voluntarios, asegurar un presupuesto anual, implementar modelos de detección de necesidades formativas más rigurosos, utilizar modalidades formativas más punteras y aplicar modelos de evaluación más eficaces. Además, el estudio ofrece pautas para los responsables del tercer sector que contribuyan a la mejora de la calidad de la formación y, por lo tanto, que contribuya al desarrollo de las competencias de los profesionales y voluntarios de la intervención socioeducativa ESP

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    الوصف: This paper studies a data-driven predictive control for a class of control-affine systems which is subject to uncertainty. With the accessibility to finite sample measurements of the uncertain variables, we aim to find controls which are feasible and provide superior performance guarantees with high probability. This results into the formulation of a stochastic optimization problem (P), which is intractable due to the unknown distribution of the uncertainty variables. By developing a distributionally robust optimization framework, we present an equivalent and yet tractable reformulation of (P). Further, we propose an efficient algorithm that provides online suboptimal data-driven solutions and guarantees performance with high probability. To illustrate the effectiveness of the proposed approach, we consider a highway speed-limit control problem. We then develop a set of data-driven speed controls that allow us to prevent traffic congestion with high probability. Finally, we employ the resulting control method on a traffic simulator to illustrate the effectiveness of this approach numerically.
    Comment: A prelimineary version appeared in arxiv:1810.11385 or DOI: 10.23919/ECC.2019.8796026

  8. 8

    المؤلفون: Martinez Gomez, David, Gomez Martinez, Sonia, Ruiz, Jonatan R., Diaz, Ligia Esperanza, Ortega, Francisco B., Widhalm, Kurt, Cuenca Garcia, Magdalena, Manios, Yannis, De Vriendt, Tineke, Molnar, Denes, Huybrechts, Inge, Breidenassel, Christina, Gottrand, Frederic, Plada, Maria, Moreno, Sara, Ferrari, Marika, Moreno, Luis A., Sjöström, Michael, Marcos, Ascension, Moreno LA, Gottrand F, De Henauw S, González Gross M, Gilbert C, Kafatos A, Libersa C, Sánchez J, Kersting M, Sjöstrom M, Molnár D, Dallongeville J, Hall G, Maes L, Scalfi L, Meléndez P, Fleta J, Casajús JA, Rodríguez G, Tomás C, Mesana MI, Vicente Rodríguez G, Villarroya A, Gil CM, Ara I, Revenga J, Lachen C, Alvira JF, Bueno G, Lázaro A, Bueno O, León JF, Garagorri JM, Bueno M, López JP, Iglesia I, Velasco P, Bel S, Marcos A, Wärnberg J, Nova E, Gómez S, Díaz EL, Romeo J, Veses A, Puertollano MA, Zapatera B, Pozo T, Martinez Gomez D, Beghin L, Iliescu C, Von Berlepsch J, Sichert Hellert W, Koeppen E, Molnar D, Erhardt E, Csernus K, Török K, Bokor S, Angster, Nagy E, Kovács O, Répasi J, Codrington C, Plada M, Papadaki A, Sarri K, Viskadourou A, Hatzis C, Kiriakakis M, Tsibinos G, Vardavas C, Sbokos M, Protoyeraki E, Fasoulaki M, Stehle P, Pietrzik K, Breidenassel C, Spinneker A, Al Tahan J, Segoviano M, Berchtold A, Bierschbach C, Blatzheim E, Schuch A, Pickert P, Garzón MJ, Sáinz ÁG, Porcel FB, Ruiz JR, Artero EG, Romero VE, Pavón DJ, Muñoz CS, Soto V, Chillón P, Heredia JM, Aparicio V, Baena P, Cardia CM, Carbonell A, Azzini E, Barrison E, Bevilacqua N, Buonocore P, Catasta G, Censi L, Ciarapica D, D'Acapito P, Ferrari M, Galfo M, Donne CL, Leclercq C, Maiani G, Mauro B, Mistura L, Pasquali A, Piccinelli R, Polito A, Spada R, Sette S, Zaccaria M, Montagnese C, De Bourdeaudhuij I, De Vriendt T, Matthys C, Vereecken C, de Maeyer M, Ottevaere C, Huybrechts I, Widhalm K, Dietrich S, Manios Y, Grammatikaki E, Bouloubasi Z, Cook TL, Eleutheriou S, Consta O, Moschonis G, Katsaroli I, Kraniou G, Papoutsou S, Keke D, Petraki I, Bellou E, Tanagra S, Kallianoti K, Argyropoulou D, Kondaki K, Tsikrika S, Karaiskos C, Meirhaeghe A, Bergman P, Hagströmer M, Hallström L, Hallberg M, Poortvliet E, Rizzo N, Beckman L, Wennlöf AH, Patterson E, Kwak L, Cernerud L, Tillgren P, Sörensen S, Sánchez Molero J, Picó E, Navarro M, Viadel B, Carreres JE, Merino G, Sanjuán R, Lorente M, Sánchez MJ, Castelló S, Thomas S, Allchurch E, Burguess P, Astrom A, Sverkén A, Broberg A, Masson A, Lehoux C, Brabant P, Pate P, Fontaine L, Sebok A, Kuti T, Hegyi A, Maldonado C, Llorente A, García E, von Fircks H, Hallberg ML, Messerer M, Larsson M, Fredriksson H, Adamsson V, Börjesson I, Fernández L, Smillie L, Wills J, Valtueña J, Jiménez Pavón D, Albers U, Pedrero R, Meléndez A, Benito PJ, Lorente JJ, Cañada D, Urzanqui A, Ortiz JC, Fuentes F, Torres RM, Navarro P, Moreno S., VITAGLIONE, PAOLA

    المساهمون: Martinez Gomez, David, Gomez Martinez, Sonia, Ruiz, Jonatan R., Diaz, Ligia Esperanza, Ortega, Francisco B., Widhalm, Kurt, Cuenca Garcia, Magdalena, Manios, Yanni, De Vriendt, Tineke, Molnar, Dene, Huybrechts, Inge, Breidenassel, Christina, Gottrand, Frederic, Plada, Maria, Moreno, Sara, Ferrari, Marika, Moreno, Luis A., Sjöström, Michael, Marcos, Ascension, Moreno, La, Gottrand, F, De Henauw, S, González Gross, M, Gilbert, C, Kafatos, A, Libersa, C, Sánchez, J, Kersting, M, Sjöstrom, M, Molnár, D, Dallongeville, J, Hall, G, Maes, L, Scalfi, L, Meléndez, P, Fleta, J, Casajús, Ja, Rodríguez, G, Tomás, C, Mesana, Mi, Vicente Rodríguez, G, Villarroya, A, Gil, Cm, Ara, I, Revenga, J, Lachen, C, Alvira, Jf, Bueno, G, Lázaro, A, Bueno, O, León, Jf, Garagorri, Jm, Bueno, M, López, Jp, Iglesia, I, Velasco, P, Bel, S, Marcos, A, Wärnberg, J, Nova, E, Gómez, S, Díaz, El, Romeo, J, Veses, A, Puertollano, Ma, Zapatera, B, Pozo, T, Martinez Gomez, D, Beghin, L, Iliescu, C, Von Berlepsch, J, Sichert Hellert, W, Koeppen, E, Molnar, D, Erhardt, E, Csernus, K, Török, K, Bokor, S, Angster, Nagy, E, Kovács, O, Répasi, J, Codrington, C, Plada, M, Papadaki, A, Sarri, K, Viskadourou, A, Hatzis, C, Kiriakakis, M, Tsibinos, G, Vardavas, C, Sbokos, M, Protoyeraki, E, Fasoulaki, M, Stehle, P, Pietrzik, K, Breidenassel, C, Spinneker, A, Al Tahan, J, Segoviano, M, Berchtold, A, Bierschbach, C, Blatzheim, E, Schuch, A, Pickert, P, Garzón, Mj, Sáinz, Ág, Porcel, Fb, Ruiz, Jr, Artero, Eg, Romero, Ve, Pavón, Dj, Muñoz, C, Soto, V, Chillón, P, Heredia, Jm, Aparicio, V, Baena, P, Cardia, Cm, Carbonell, A, Azzini, E, Barrison, E, Bevilacqua, N, Buonocore, P, Catasta, G, Censi, L, Ciarapica, D, D'Acapito, P, Ferrari, M, Galfo, M, Donne, Cl, Leclercq, C, Maiani, G, Mauro, B, Mistura, L, Pasquali, A, Piccinelli, R, Polito, A, Spada, R, Sette, S, Zaccaria, M, Vitaglione, Paola, Montagnese, C, De Bourdeaudhuij, I, De Vriendt, T, Matthys, C, Vereecken, C, de Maeyer, M, Ottevaere, C, Huybrechts, I, Widhalm, K, Dietrich, S, Manios, Y, Grammatikaki, E, Bouloubasi, Z, Cook, Tl, Eleutheriou, S, Consta, O, Moschonis, G, Katsaroli, I, Kraniou, G, Papoutsou, S, Keke, D, Petraki, I, Bellou, E, Tanagra, S, Kallianoti, K, Argyropoulou, D, Kondaki, K, Tsikrika, S, Karaiskos, C, Meirhaeghe, A, Bergman, P, Hagströmer, M, Hallström, L, Hallberg, M, Poortvliet, E, Rizzo, N, Beckman, L, Wennlöf, Ah, Patterson, E, Kwak, L, Cernerud, L, Tillgren, P, Sörensen, S, Sánchez Molero, J, Picó, E, Navarro, M, Viadel, B, Carreres, Je, Merino, G, Sanjuán, R, Lorente, M, Sánchez, Mj, Castelló, S, Thomas, S, Allchurch, E, Burguess, P, Astrom, A, Sverkén, A, Broberg, A, Masson, A, Lehoux, C, Brabant, P, Pate, P, Fontaine, L, Sebok, A, Kuti, T, Hegyi, A, Maldonado, C, Llorente, A, García, E, von Fircks, H, Hallberg, Ml, Messerer, M, Larsson, M, Fredriksson, H, Adamsson, V, Börjesson, I, Fernández, L, Smillie, L, Wills, J, Valtueña, J, Jiménez Pavón, D, Albers, U, Pedrero, R, Meléndez, A, Benito, Pj, Lorente, Jj, Cañada, D, Urzanqui, A, Ortiz, Jc, Fuentes, F, Torres, Rm, Navarro, P, Moreno, S.

    المصدر: Digital.CSIC. Repositorio Institucional del CSIC
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    الوصف: Objective: Atherogenesis involves an inflammatory process that occurs early in life even though clinical symptoms are not observed until adulthood. Two important protective factors for low-grade inflammation may be physical activity (PA) and fitness. We examined the independent associations of objective and subjective measurements of PA and fitness with low-grade inflammation in European adolescents. Methods: A total of 1045 adolescents, aged from 12.5 to 17.5 years old from 10 European cities, were selected from the HELENA-Cross-Sectional Study. Objectively-measured and self-reported PA variables were obtained by accelerometry and the International PA Questionnaire for Adolescents, respectively. Overall, cardiorespiratory, muscular and motor fitness variables were assessed by standardized field-based fitness tests and the International Fitness Scale. C-reactive protein (CRP), complement factors 3 (C3) and 4 (C4), interleukin-6 and TNF-α inflammatory markers were measured. Results: Objectively-measured vigorous PA was inversely associated with C3 (β= -0.094, P= 0.021) but it did not remain significant after any objective fitness indicator was included in the model. Other objectively measured or self-reported assessments of PA were not significantly associated with inflammatory markers. All objective measures of fitness were inversely associated with CRP, C3 and C4, whereas only self-reported motor fitness remained significantly associated with C3, C4 and TNF-α. All these observations were independent of age, sex, city and body mass index or waist circumference. Conclusion: High PA in adolescence may play an indirect role on lessening low-grade inflammation through improvements in fitness. © 2011 Elsevier Ireland Ltd.

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    المصدر: Redined, Red de Información Educativa
    Ministerio de Educación, Cultura y Deporte (MECD)

    الوصف: Resumen basado en el de la publicación Se presenta una propuesta de descripción de puesto de trabajo como herramienta básica en la gestión de personas en los centros residenciales de acción educativa de atención a la infancia y la adolescencia. Su elaboración surge del resultado de una investigación realizada entre el colectivo de educadores/as sociales de los recursos residenciales de atención a la infancia de Barcelona y provincia. Además, incluye una exposición sobre la necesidad de que el tercer sector social incorpore políticas integrales de gestión del talento para abordar los retos actuales de un contexto complejo que exige profesionalización, calidad, eficacia y eficiencia. Por último, se presentan los beneficios, las limitaciones y las conclusiones de la aplicación de las descripciones de puestos de trabajo en los recursos residenciales. ESP

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