Pau Segovia Castillo
Postdoc
Subline:
Automatic Control
psegovia (at) iri.upc.edu
93 4010854
https://psegoviacastillo.wixsite.com/academic
I received my BS/MS degree in Industrial Engineering in 2015 from UPC and a joint PhD in Automatic Control in 2019 from UPC and IMT-LD, France. I have held postdoctoral research appointments at IMT-LD (2019–2020), TU Delft (2020–2023), and UPC (2023). I am a Beatriz Galindo fellow in the Department of Automatic Control at UPC since 09/2023, and a member of the Advanced Control Systems (SAC) research group of the Research Center for Supervision, Safety and Automatic Control (CS2AC).
Publications
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P. Segovia, V. Puig, R. Negenborn and V. Reppa. Dynamic coordination of multiple movable bridges and vessels for time-efficient inland waterway navigation. IEEE Transactions on Intelligent Transportation Systems, 2025, to appear.
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J.P. Arango, L. Etienne, E. Duviella, K. Langueh, P. Segovia and V. Puig. Unknown input observer for quadratically inner bounded-one sided Lipschitz perturbed nonlinear systems. International Journal of Systems Science: 1-14, 2024, to appear.
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J.P. Arango, L. Etienne, E. Duviella, K. Langueh, P. Segovia and V. Puig. Design of Observer Schemes for One-sided Lipschitz Noisy Nonlinear Systems, 2024 IEEE International Conference on Automation Science and Engineering, 2024, , pp. 748-754.
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R. Ranjbar, P. Segovia, E. Duviella, L. Etienne, J.M. Maestre and E. Fernández. Digital Twin of Calais Canal with Model Predictive Controller: A Simulation on a Real Database. Journal of Water Resources Planning and Management, 150(5): 05024002, 2024.
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J.P. Arango, G.J. Conde, E. Duviella, L. Etienne, K. Langueh, P. Segovia, V. Puig, C. Ocampo-Martínez and N. Quijano. Unknown Input Observer Scheme for Open-flow Irrigation Channels, 2024 IFAC Workshop on Integrated Assessment Modelling for Environmental Systems, 2024, , pp. 7-12.
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P. Segovia, V. Puig and E. Duviella. A multilayer control strategy for the Calais canal. IEEE Transactions on Control Systems Technology, 32(2): 311-325, 2024.
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P. Segovia, V. Puig and V. Reppa. A model predictive scheduling strategy for coordinated inland vessel navigation and bridge operation, 7th IEEE Conference on Control Technology and Applications, 2023, Bridgetown, Barbados, pp. 847-852.
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A. Anderson, P. Segovia, J. Garcia and E. Duviella. Switching Model Predictive Control of canals characterized by large operating conditions, 2023 IFAC World Congress, 2023, Yokohama, pp. 755-760.
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A. Castelletti, A. Ficchì, A. Cominola, P. Segovia, M. Giuliani, W. Wu, S. Lucia, C. Ocampo-Martínez, B. de Schutter and J.M. Maestre. Model predictive control of water resources systems: A review and research agenda. Annual Reviews in Control, 55: 442-465, 2023.
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P. Segovia, M. Pesselse, T. van den Boom and V. Reppa. Scheduling Inland Waterway Transport Vessels and Locks Using a Switching Max-Plus-Linear Systems Approach. IEEE Open Journal of Intelligent Transportation Systems, 2022.
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PhD Theses as supervisor
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Job-shop scheduling with limited-capacity buffers using Artificial Intelligence approaches
Student:
Javier Pedrosa Alias
Started:
18/03/2022
Description
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