Pau Segovia Castillo


Subline:

Automatic Control


E-mail psegovia (at) iri.upc.edu

Phone 93 4010854

Web https://psegoviacastillo.wixsite.com/academic

Pau received his Industrial Engineering degree (equiv. to BSc+MSc) from Universitat Politècnica de Catalunya (UPC) in 2015. In 2019, he received the PhD degree in Automatic Control from UPC and IMT Lille Douai (France). He then spent one year (09/2019-08/2020) as a postdoc at IMT-LD. Since September 2020, he is with TU Delft, where he works as a postdoc.
His research interests include control of large-scale systems, with applications to water systems and transportation networks.

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Publications

  • R. Deshays, P. Segovia and E. Duviella. Design of a MATLAB HEC-RAS interface to test advanced control strategies on water systems. Water, 16(6): 763, 2022.

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  • F. Karimi, P. Segovia, E. Duviella and V. Puig. A two-layer control architecture for operational management and hydroelectricity production maximization in inland waterways using MPC. Control Engineering Practice, 124: 105172, 2022.

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  • P. Segovia, V. Puig and E. Duviella. Set-membership-based distributed moving horizon estimation of large-scale systems. ISA Transactions, 128: 402-413, 2022.

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  • P. Segovia, V. Puig, E. Duviella and L. Etienne. Distributed model predictive control using optimality condition decomposition and community detection. Journal of Process Control, 99: 54-68, 2021.

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  • P. Segovia, E. Duviella and V. Puig. Multi-layer model predictive control of inland waterways with continuous and discrete actuators, 21st IFAC World Congress, 2020, (Virtual), Vol 53 of IFAC Papers Online, pp. 16624-16629, Elsevier.

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  • P. Segovia, L. Rajaoarisoa, F. Nejjari, E. Duviella and V. Puig. A communication-based distributed model predictive control approach for large-scale systems, 58th IEEE Conference on Decision and Control, 2019, Nice, France, pp. 8366-8371, IEEE.

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  • P. Segovia, L. Rajaoarisoa, F. Nejjari, E. Duviella and V. Puig. Model predictive control and moving horizon estimation for water level regulation in inland waterways. Journal of Process Control, 76: 1-14, 2019.

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  • P. Segovia, L. Rajaoarisoa, F. Nejjari, E. Duviella and V. Puig. Distributed input-delay model predictive control of inland waterways, 13th International Conference on Hydroinformatics, 2018, Palermo, Italy, Vol 3 of EpIC Series in Engineering, pp. 1893-1901.

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  • P. Segovia, J. Blesa, E. Duviella, L. Rajaoarisoa, F. Nejjari and V. Puig. Sensor fault diagnosis in inland navigation networks based on a grey-box model, 10th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2018, Warsow, Poland, Vol 51-24 of IFAC Papers Online, pp. 742-747, IFAC-Elsevier.

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  • P. Segovia, L. Rajaoarisoa, F. Nejjari, E. Duviella and V. Puig. Input-delay model predictive control of inland waterways considering the backwater effect, 2nd IEEE Conference on Control Technology and Applications, 2018, Copenhague, Denmark, pp. 589-594.

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