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
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CHEERFUL: Analysis and design of controllers for high-pressure electrolyzers applied to obtaining hydrogen for a PEM fuel-cells setup
CSIC Project
Start Date: 01/02/2018
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MuYSCA: Modelado y control de sistemas de riego en canal abierto
CSIC Project
Start Date: 01/04/2019
As contributor
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L-BEST: Advanced Learning-Based supervision for Efficiency and Safety in smart infrasTructures
National Project
Start Date: 01/09/2021
Publications
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W. Ananduta and C. Ocampo-Martínez. Event-triggered partitioning for non-centralized predictive-control-based economic dispatch of interconnected microgrids. Automatica, 132: 109829, 2021.
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M.R. David, F. Bianchi, C. Ocampo-Martínez and R. Sánchez Peña. Model-based control design for H2 purity regulation in high-pressure alkaline electrolyzers. Journal of the Franklin Institute, 358(8): 4373–4392, 2021.
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W. Ananduta, C. Ocampo-Martínez and A. Nedic. A distributed augmented Lagrangian method over stochastic networks for economic dispatch of large-scale energy systems. IEEE Transactions on Sustainable Energy, 2021, to appear.
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F. Karimi, V. Puig and C. Ocampo-Martínez. Economic model predictive control of nonlinear systems using a linear parameter varying approach. International Journal of Robust and Nonlinear Control, 2021, to appear.
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J.L. Diaz and C. Ocampo-Martínez. Non-centralised control strategies for energy-efficient and flexible manufacturing systems. Journal of Manufacturing Systems, 59: 386-397, 2021.
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J.M. Maestre, F. Lopez, F. Muros and C. Ocampo-Martínez. Modular feedback control of networked systems by clustering: A drinking water network case study. Processes, 9(2): 389, 2021.
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G.J. Conde, N. Quijano and C. Ocampo-Martínez. Modeling and control in open-channel irrigation systems: A review. Annual Reviews in Control, 2021, to appear.
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L. Levieux, C. Ocampo-Martínez, F. Inthamoussou and H. De Battista. Predictive management approach for the coordination of wind and water-based power supplies. Energy, 219: 119535, 2021.
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M.A. Bermeo, C. Ocampo-Martínez and J. Diaz. Adaptive predictive control for peripheral equipment management to enhance energy efficiency in smart manufacturing systems. Journal of Cleaner Production, 291: 125556, 2021.
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A.M. Alzate, C. Ocampo-Martínez, C. Cardona and V. Trejos. Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and pH. Nonlinear Engineering, 9: 35-50, 2020.
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PhD Theses as supervisor
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Control strategies for high-speed compression systems: application to fuel-cell-based vehicles
Student:
Yousif Omer Yousif Eldigair
Started:
15/09/2017
Description
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Modelling and Control of Alkaline Electrolyzers
Student:
Martín Rafael David
Started:
12/09/2018
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Modelling and control of complex canal systems
Student:
Gregory Johann Conde Mendez
Started:
01/09/2019
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Advanced Control strategies for energy consumption improvement applied to smart manufacturing systems
Student:
Miguel Angel Bermeo Ayerbe
Started:
01/09/2019
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Development of distributed control strategies for large-scale systems based on evolutionary game theory and population dynamics
Student:
Juan Pablo Martínez Piazuelo
Started:
01/06/2021
Description
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