
Ramon Costa Castelló
Profesor Titular de Universidad
Subline:
Automatic Control
rcosta (at) iri.upc.edu
93 4017290
http://people-esaii.upc.edu/people/rcosta/
Ramon Costa-Castelló was born in Lleida, CATALUNYA, SPAIN in 1970, obtained the master degree in computer science in 1993 from the Facultat d’Informàtica de Barcelona (FIB) from the Universitat Politècnica de Catalunya (UPC), in 2001 he obtained the PhD degree in computer science Currently, he is an Associate Professor at the Automatic Control department (ESAII).
As leader
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DOVELAR: Control and energy management of hybrid fuel cell-based electric vehicles
National Project
Start Date: 01/01/2019
Publications
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Y. Xing, J. Na, M. Chen, R. Costa and V. Roda. Adaptive nonlinear parameter estimation for a proton exchange membrane fuel cell. IEEE Transactions on Power Electronics, 2022, to appear.
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A. Cecilia, S. Sahoo, T. Dragičević, R. Costa and F. Blaabjerg. On addressing the security and stability issues due to false data injection attacks in DC microgrids – An adaptive observer approach. IEEE Transactions on Power Electronics, 37(3): 2801-2814, 2022.
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U. Raveendran Nair, M. Sandelic, A. Sangwongwanich, T. Dragicevic, R. Costa and F. Blaabjerg. An analysis of multi objective energy scheduling in PV-BESS system under prediction uncertainty. IEEE Transactions on Energy Conversion, 36(3): 2276-2286, 2021.
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G.A. Ramos, T. Montobbio, C. Domènech-Mestres and R. Costa. Industrial robots fuel cell based hybrid power-trains: A comparison between different configurations. Electronics, 10(12): 1431, 2021.
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V. Sanz, G. Lopez, R. Costa and C. Batlle. Combined heat and power using high-temperature proton exchange membrane fuel cells for housing facilities, 2021 IEEE International Conference on Emerging Technologies and Factory Automation, 2021, Västerås, Sweden, pp. 1-8.
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A. Clemente and R. Costa. Flow controlling tuning for the voltage of a redox flow battery considering the effect of overpotentials, 2021 IEEE International Conference on Emerging Technologies and Factory Automation, 2021, Västerås, Sweden.
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A. Clemente, A. Cecilia and R. Costa. SOC and diffusion rate estimation in redox flow batteries: An I&I-based high-gain observer approach, 20th European Control Conference, 2021, Rotterdam, Netherlands, pp. 1640-1644.
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A. Cecilia and R. Costa. On state-estimation in weakly-observable scenarios and implicitly regularized observers, 60th IEEE Conference on Decision and Control, 2021, Austin, TX, USA (Virtual), pp. 3996-4001.
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A. Cecilia and R. Costa. Library-based adaptive observation through a sparsity-promoting adaptive observer, 20th European Control Conference, 2021, Rotterdam, Netherlands, pp. 2187-2192.
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A. Clemente, A. Cecilia and R. Costa. Estimación del estado de carga y coeficientes de difusión en baterías de flujo redox, XLII Jornadas de Automática, 2021, Castellón, Spain, pp. 357-364.
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PhD Theses as supervisor
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Modeling and Control of HT-PEM FC for Combined Heat and Power Applications
Student:
Víctor Sanz i López
Started:
01/01/2017
Description
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Vibration control on submerged objects
Student:
Bin Wang
Started:
01/09/2019
Description
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Modeling and control of a redox flow battery
Student:
Alejandro Clemente León
Started:
21/10/2020
Description
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