Andreu Cecilia

PhD Automatic Control

andreu.cecilia@upc.edu
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My Biography

I received the B.Eng. degree in industrial engineering, the double M.Sc. degree in automatic control/industrial engineering and the PhD in automatic control, robotics and vision from the Universitat Politècnica de Catalunya, Barcelona, Spain, in 2017, 2020 and 2022, respectively. In 2022-2023, I worked as a post-doctoral researcher at LAGEPP, Lyon, France. I am currently working as a post-doctoral researcher at UPC, Barcelona. My research interests include observers, nonlinear system theory and its application to energy systems and cybersecurity.

PhD Andreu Cecilia

Publications

Journal papers

  1. Generalized Lyapunov conditions for k-contraction: analysis and feedback design, Cecilia A., Zoboli S., Astolfi D., Serres U. & Andrieu V. (2025). IEEE Transactions on Automatic Control
  2. OCV Estimation in electrochemical batteries with an unknown linear model and finite excitation, Martí-Florences, M., Cecilia, A., Ortega, R., Bobtsov, A., Costa-Castelló, R. (2025). Journal of Energy Storage, 132(B), 117665
  3. Metal Hydride Storage Tank State of Charge Estimation: A Switched Observer Approach, Chen, M. Cecilia, A. , Na J. Batlle C. , Costa-Castelló R. (2025). IEEE Transactions on Control Systems Technology
  4. Control-oriented modeling and observation of a single cell proton ceramic electrochemical reactor for single-stage ammonia cracking to compressed hydrogen, Cecilia, A., Catalán-Martínez, D., Escolástico, S., Serra, M., Serra J. M., Costa-Castelló R.. International Journal of Hydrogen Energy, 161, 150557
  5. A Masking Protocol for Nonlinear and Incrementally Passive Average Consensus Algorithms, Baldomà-Mitjans P. ; Cecilia A.; Casadei G.; Astolfi D.; Puig V.. IEEE Control Systems Letters, 9, 1928 - 1933
  6. Blending deep-learning and observers for improved state of charge estimation in vanadium flow batteries, Clemente A., Puleston T., Cecilia A., Costa-Castelló R., Trilla L. (2025). ISA Transactions, 157, 620-630
  7. Nonlinear observer for online concentration estimation in vanadium flow batteries based on half-cell voltage measurements, Puleston, T., Cecilia, A., Costa-Castelló, R., & Serra, M. (2024). Computers & Chemical Engineering, 185, 108664
  8. Cancelling output disturbances in observer design through internal model filters, Cecilia, A., Astolfi, D., Bin, M., & Costa-Castelló, R. (2024). Automatica, 162, 111529
  9. A New Nonlinear Observer for Liquid Water Estimation in Fuel Cells, Cecilia, A. Astolfi, D., & Costa-Castelló, R. (2024). IEEE Transactions on Control Systems Technology, 32, 3, 990-1001
  10. Real-time parameter estimation of polymer electrolyte membrane fuel cell in absence of excitation, Cecilia, A., Serra, M., & Costa-Castelló, R. (2024). International Journal of Hydrogen Energy, 52 B, 37-48
  11. Estimation of the liquid water saturation in PEM fuel cells: A low-power peaking-free dead-zone observer approach, Cecilia, A., & Costa-Castelló, R. (2023). ISA transactions, 140, 368-384
  12. Vanadium redox flow batteries real-time State of Charge and State of Health estimation under electrolyte imbalance condition, Puleston, T., Cecilia, A., Costa-Castelló, R., & Serra, M. (2023). Journal of Energy Storage, 68, 107666
  13. Modelling and Estimation in Lithium-Ion Batteries: A Literature Review, Martí-Florences, M., Cecilia, A., & Costa-Castelló, R. (2023). Energies, 16(19), 6846
  14. Online state of charge estimation for a vanadium redox flow battery with unequal flow rates, Clemente, A., Cecilia, A., & Costa-Castelló, R. (2023). Journal of Energy Storage, 60, 106503
  15. SoC Estimation in Lithium-Ion Batteries with Noisy Measurements and Absence of Excitation, Martí-Florences, M.; Cecilia, A.; Clemente, A.; Costa-Castelló, R.. Batteries, 9, 578
  16. Addressing the relative degree restriction in nonlinear adaptive observers: A high-gain observer approach, Cecilia, A., & Costa-Castelló, R. (2022). Journal of the Franklin Institute, 359(8), 3857-3882
  17. On Addressing the Security and Stability Issues Due to False Data Injection Attacks in DC Microgrids—An Adaptive Observer Approach, Cecilia, A., Sahoo, S., Dragičević, T., Costa-Castelló, R., & Blaabjerg, F. (2021). IEEE Transactions on Power Electronics, 37(3), 2801-2814
  18. Nonlinear adaptive observation of the liquid water saturation in polymer electrolyte membrane fuel cells, Cecilia, A., Serra, M., & Costa-Castelló, R. (2021). Journal of Power Sources, 492, 229641
  19. Detection and mitigation of false data in cooperative dc microgrids with unknown constant power loads, Cecilia, A., Sahoo, S., Dragičević, T., Costa-Castelló, R., & Blaabjerg, F. (2021). IEEE Transactions on Power Electronics, 36(8), 9565-9577
  20. High gain observer with dynamic deadzone to estimate liquid water saturation in pem fuel cells, Cecilia, A., & Costa-Castelló, R. (2020). Revista Iberoamericana de Automática e Informática industrial, 17(2), 169-180
  21. Optimal energy management in a standalone microgrid, with photovoltaic generation, short-term storage, and hydrogen production, Cecilia, A., Carroquino, J., Roda, V., Costa-Castelló, R., & Barreras, F. (2020). Energies, 13(6), 1454

Conference Papers

  1. Quadratic abstractions for k-contraction, Zoboli S., Cecilia, A. & Tarbouriech S. (accepted). 2024 63rd IEEE Conference on Decision and Control (CDC)
  2. k-contraction analysis for discrete-time systems, Zoboli S. & Cecilia, A.. 4th IFAC Conference of Modelling, Identification and Control of nonlinear systems, Lyon, France, 2024
  3. Chaotic Masking Protocol for Secure Communication and Attack Detection in Remote Estimation of Cyber-Physical Systems, Chen T., Cecilia, A., Astolfi, D., Wang, L., Liu, Z. & Su, H.. 4th IFAC Conference of Modelling, Identification and Control of nonlinear systems, Lyon, France, 2024
  4. A masking protocol for private communication and attack detection in nonlinear observers, Cecilia A., Astolfi D., Casadei G., Costa-Castelló R. & Nesic D.. 2023 62nd IEEE Conference on Decision and Control (CDC), Singapore, 2023
  5. LMI conditions for k-contraction analysis: a step towards design, Zoboli S., Cecilia A., Serres U., Astolfi D. & Andrieu V.. 2023 62nd IEEE Conference on Decision and Control (CDC), Singapore, 2023
  6. On state-estimation in weakly-observable scenarios and implicitly regularized observers, Cecilia, A., & Costa-Castelló, R. 60th IEEE Conference on Decision and Control, Austin, TX, USA, 2021
  7. SOC and diffusion rate estimation in redox flow batteries: An I&I-based high-gain observer approach, Clemente A., Cecilia A. & Costa-Castelló R.. 2021 European Control Conference (ECC), Delft, Netherlands, 2021
  8. Library-based adaptive observation through a sparsity-promoting adaptive observer, Cecilia, A., & Costa-Castelló, R.. 2021 European Control Conference (ECC), Delft, Netherlands, 2021
  9. PEMFC state and parameter estimation through a high-gain based adaptive observer, Cecilia, A., Serra, M., & Costa-Castelló, R.. 21st IFAC World Congress: Berlin, Germany, 11–17 July 2020

Books

  1. Advances in Nonlinear Observer Design for State and Parameter Estimation in Energy Systems, Cecilia, A. (2023). Springer Theses

Submitted Papers (Under review)

  1. Dynamic output-feedback design for generalized Lyapunov inequalities, Zoboli S., Cecilia A., Tarbouriech S.. Automatica (under review)

Teaching

Universitat Politècnica de Catalunya (UPC)

  • 2025 - Identification and simulation of dynamic systems
  • 2025 - Control en l'espai d'estats
  • 2025 - Laboratori de sistemes de control i electrònica industrial
  • 2025 - Pattern recognition and machine learning
  • 2025 - Non linear Control Systems
  • 2024 - Modelling, Identification and Simulation of Dynamical Systems
  • 2024 - Fuel Cells
  • 2024 - Non linear Control Systems
  • 2023 - Modelling, Identification and Simulation of Dynamical Systems
  • 2023 - Fuel Cells
  • 2022 - Dynamical Systems y Automatic Control
  • 2021 - Dynamical Systems y Automatic Control

Université Claude Bernard Lyon 1

  • 2023 Automatique 1 y Automatique des Systèmes Dynamiques Linéaires 1

Education

  • 2018-2022 - Doctoral degree in Automatic Control, Robotics and Vision, Univ. Politécnica de Cataluña (UPC)
  • 2017-2020 - Master's degree in Industrial Engineering, Univ. Politécnica de Cataluña (UPC)
  • 2017-2020 - Master's degree in Automatic Control and Robotics, Univ. Politécnica de Cataluña (UPC)
  • 2013-2017 - Bachelor's degree in Industrial Technology Engineering, Univ. Politécnica de Cataluña (UPC)

Projects

  • ACROBA (Spanish/EU grant) with UPC/INCIBE - Participant 2024-2025

  • SINGLE (Horizon Eurpe 2021/2027) with European Commission - Participant 2023-2026

  • MASHED (Spanish/EU grant) with UPC - Participant 2023-2024

  • MAFALDA (Spanish/EU grant) with UPC - Participant 2022-2024

  • PTI+ TRANS-ENER (Spanish/EU grant) with UPC - Participant 2021-2022

  • DOVELAR (Spanish/EU grant) with UPC - Participant 2019-2022

Ph.D. Students

  • Energy management in hybrid storage systems

    2023 - Current - Miquel Martí - Doctoral Programme Automatic Control, Robotics and Vision (UPC)

  • Control-oriented cyber-security in electrical grids

    2024 - Current - Pol Baldomà - Doctoral Programme Automatic Control, Robotics and Vision (UPC)

Bachelor/M. Sc. Students

Contact Me

Email Me

andreu.cecilia@upc.edu

Head Office

Universitat Politècnica de Catalunya, Avinguda Diagonal, 647, 08028 Barcelona, Spain

Call me

(+34) 673 788 202