Carlos A. Ocampo Martínez
Profesor Agregado
Subline:
Automatic Control
cocampo (at) iri.upc.edu
93 4015752
93 4013007
http://www.iri.upc.edu/people/cocampo
He received his electronics engineering degree and his MSc. degree in industrial automation from the National University of Colombia, Campus Manizales, in 2001 and 2003, respectively. In 2007, he received his Ph.D. degree in Control Engineering from the UPC. Currently, he is Associate Professor at the UPC - ESAII. His main research interests include constrained model predictive control, large-scale systems management (partitioning and non-centralized control), and industrial applications.
As leader
As contributor
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MASHED: Efficient Management of Energy Systems including Hybrid Electrochemical Energy Storage using Digitalisation Technologies
National Project
Start Date: 01/12/2022
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L-BEST: Supervision and fault-tolerant control of smart infrastructures based on advanced learning and optimization
National Project
Start Date: 01/09/2021
Publications
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J.P. Martínez, W. Ananduta, C. Ocampo-Martínez, S. Grammatico and N. Quijano. Population games with replicator dynamics under event-triggered payoff provider and a demand response application. IEEE Control Systems Letters, 2023, to appear.
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A. Sánchez-Amores, J.P. Martínez, J.M. Maestre, C. Ocampo-Martínez, E. Fernández and N. Quijano. Coalitional model predictive control of parabolic-trough solar collector fields with population-dynamics assistance. Applied Energy, 334: 120740, 2023.
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J.P. Martínez, C. Ocampo-Martínez and N. Quijano. On distributed Nash equilibrium seeking in a class of contractive population games. IEEE Control Systems Letters, 6: 2972-2977, 2022.
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E. Morera, C. Ocampo-Martínez and F. Bianchi. Experimental modelling and optimal torque vectoring control for 4WD vehicles. IEEE Transactions on Vehicular Technology, 71(5): 4922-4932, 2022.
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J.P. Martínez, C. Ocampo-Martínez and N. Quijano. Generalized Nash equilibrium seeking in population games under the Brown-von Neumann-Nash dynamics, 2022 European Control Conference, 2022, London,United Kingdom, pp. 2161-2166.
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J.P. Martínez, N. Quijano and C. Ocampo-Martínez. A payoff dynamics model for equality-constrained population games. IEEE Control Systems Letters, 6: 530-535, 2022.
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W. Ananduta, A. Nedic and C. Ocampo-Martínez. Distributed augmented Lagrangian method for link-based resource sharing problems of multiagent systems. IEEE Transactions on Automatic Control, 67(6): 3067-3074, 2022.
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F. Arqué, C. Uribe and C. Ocampo-Martínez. Approximate Wasserstein attraction flows for dynamic mass transport over networks. Automatica, 143: 110432, 2022.
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J.P. Martínez, N. Quijano and C. Ocampo-Martínez. Nash equilibrium seeking in full-potential population games under capacity and migration constraints. Automatica, 141: 110285, 2022.
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M.A. Bermeo, C. Ocampo-Martínez and J. Diaz. Data-driven energy prediction modeling for both energy efficiency and maintenance in smart manufacturing systems. Energy, 238: 121691, 2022.
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PhD Theses as supervisor
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On the Design of Optimization-Based Controllers via Generalized Nash Equilibrium Seeking in Evolutionary Games Over Networks
Student:
Juan Pablo Martínez Piazuelo
Started:
01/06/2021
Description
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Advanced Control Strategies applied to Alkaline Electrolyzers for maximizing Purity in Hydrogen Production
Student:
Omar Aguirre Serrano
Started:
15/10/2022
Description
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