Andreu Cecilia Piñol

PhD Automatic Control

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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.

Publications

Journal papers

  1. Puleston, T., Cecilia, A., Costa-Castelló, R., & Serra, M. (2024) Nonlinear observer for online concentration estimation in vanadium flow batteries based on half-cell voltage measurements, Computers & Chemical Engineering, (accepted).
  2. Cecilia, A., Astolfi, D., Bin, M., & Costa-Castelló, R. (2024) Cancelling output disturbances in observer design through internal model filters Automatica, 162, 111529.
  3. Cecilia, A. Astolfi, D., & Costa-Castelló, R. A New Nonlinear Observer for Liquid Water Estimation in Fuel Cells. IEEE Transactions on Control Systems Technology (accepted)
  4. Cecilia, A., Serra, M., & Costa-Castelló, R. (2024) Real-time parameter estimation of polymer electrolyte membrane fuel cell in absence of excitation. International Journal of Hydrogen Energy, 52 B, 37-48
  5. Cecilia, A., & Costa-Castelló, R. (2023). Estimation of the liquid water saturation in PEM fuel cells: A low-power peaking-free dead-zone observer approachISA transactions140, 368-384. 
  6. Puleston, T., Cecilia, A., Costa-Castelló, R., & Serra, M. (2023) Vanadium redox flow batteries real-time State of Charge and State of Health estimation under electrolyte imbalance condition.  Journal of Energy Storage, 68, 107666. 
  7. Martí-Florences, M., Cecilia, A., & Costa-Castelló, R. (2023). Modelling and Estimation in Lithium-Ion Batteries: A Literature ReviewEnergies16(19), 6846. 
  8. Clemente, A., Cecilia, A., & Costa-Castelló, R. (2023). Online state of charge estimation for a vanadium redox flow battery with unequal flow rates. Journal of Energy Storage, 60, 106503.
  9. Martí-Florences, M.; Cecilia, A..; Clemente, A.; Costa-Castelló, R. SoC Estimation in Lithium-Ion Batteries with Noisy Measurements and Absence of ExcitationBatteries 20239, 578. 
  10. Cecilia, A., & Costa-Castelló, R. (2022). Addressing the relative degree restriction in nonlinear adaptive observers: A high-gain observer approach. Journal of the Franklin Institute, 359(8), 3857-3882.
  11. Cecilia, A., Sahoo, S., Dragičević, T., Costa-Castelló, R., & Blaabjerg, F. (2021). On Addressing the Security and Stability Issues Due to False Data Injection Attacks in DC Microgrids—An Adaptive Observer Approach. IEEE Transactions on Power Electronics, 37(3), 2801-2814.
  12. Cecilia, A., Serra, M., & Costa-Castelló, R. (2021). Nonlinear adaptive observation of the liquid water saturation in polymer electrolyte membrane fuel cells. Journal of Power Sources, 492, 229641.
  13. Cecilia, A., Sahoo, S., Dragičević, T., Costa-Castelló, R., & Blaabjerg, F. (2021). Detection and mitigation of false data in cooperative dc microgrids with unknown constant power loads. IEEE Transactions on Power Electronics, 36(8), 9565-9577.
  14. Cecilia, A., & Costa-Castelló, R. (2020). High gain observer with dynamic deadzone to estimate liquid water saturation in pem fuel cells. Revista Iberoamericana de Automática e Informática industrial, 17(2), 169-180.
  15. Cecilia, A., Carroquino, J., Roda, V., Costa-Castelló, R., & Barreras, F. (2020). Optimal energy management in a standalone microgrid, with photovoltaic generation, short-term storage, and hydrogen production. Energies, 13(6), 1454.

Conference Papers

  1. Cecilia A., Astolfi D., Casadei G., Costa-Castelló R. & Nesic D., A masking protocol for private communication and attack detection in nonlinear observers, 2023 62nd IEEE Conference on Decision and Control (CDC), Singapore, Singapore, 2023, pp. 7495-7500.
  2. Zoboli S., Cecilia A., Serres U., Astolfi D. & Andrieu V., LMI conditions for k-contraction analysis: a step towards design, 2023 62nd IEEE Conference on Decision and Control (CDC), Singapore, Singapore, 2023, pp. 1903-1910.
  3. Cecilia, A., & Costa-Castelló, R (2021). On state-estimation in weakly-observable scenarios and implicitly regularized observers. In 60th IEEE Conference on Decision and Control, Austin, TX, USA, 2021, pp. 3996-4001.
  4. Clemente A. , Cecilia A. & Costa-Castelló R. SOC and diffusion rate estimation in redox flow batteries: An I&I-based high-gain observer approach. In 2021 European Control Conference (ECC), Delft, Netherlands, 2021, pp. 1640-1644.
  5. Cecilia, A., & Costa-Castelló, R. (2021). Library-based adaptive observation through a sparsity-promoting adaptive observer. In 2021 European Control Conference (ECC), Delft, Netherlands, 2021, pp. 2187-2192.
  6. Cecilia, A., Serra, M., & Costa-Castelló, R. (2020). PEMFC state and parameter estimation through a high-gain based adaptive observer. IFAC-PapersOnLine, 53(2), 5895-5900.

Submitted Papers (Under review)

 

  1. Cecilia A., Zoboli S., Astolfi D.,  Serres U. & Andrieu V. , Generalized Lyapunov conditions for k-contraction: analysis and feedback design, under review – IEEE  Transactions on Automatic Control. 
  2. Chen T., Cecilia, A., Astolfi, D., Wang, L., Liu, Z. & Su, H., Chaotic Masking Protocol for Secure Communication and Attack Detection in Remote Estimation of Cyber-Physical Systems, under review, 4th IFAC Conference of Modelling, Identification and Control of nonlinear systems.
  3. Zoboli S. & Cecilia, A., k-contraction analysis for discrete-time systems, under review, 4th IFAC Conference of Modelling, Identification and Control of nonlinear systems.
  4. Zoboli S., Cecilia, A. & Tarbouriech S., Quadratic abstractions for k-contraction, under review, 2024 63rd IEEE Conference on Decision and Control (CDC).

Teaching

Universidad Politécnica de Cataluña (UPC)

2021-2022 – Dynamical Systems (45 h) and Automatic Control (12 h)

2023 – Modelling, Identification and Simulation of Dynamical Systems (7,5 h)

2023 – Fuel Cells (4 h)

Université Claude Bernard Lyon 1

2023 Automatique 1 (16 h) and Automatique des Systèmes Dynamiques Linéaires 1 (12 h)

Education

Bachelor’s degree in Industrial Technology Engineering, Univ. Politécnica de Cataluña (UPC)

2013-2017

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)

2017-2020

Doctoral degree in Automatic Control, Robotics and Vision, Univ. Politécnica de Cataluña (UPC)

2018-2022

Projects

ACROBA (Spanish/EU grant) with UPC-INCIBE

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

2023-2025 – Miquel Martí – Doctoral Programme Automatic Control, Robotics and Vision (UPC)

Bachelor/M. Sc. Students

Desenvolupament d’un algorisme d’estimació de l’estat de càrrega en bateries de liti

2021-2022 – Miguel Aragón Grabiel – ETSEIB-UPC

Estimació d'estats en bateries de liti a través de Filtres de Kalman

2021-2022 – Celia Bonillo Mesegue – ETSEIB-UPC

Desenvolupament i aplicació de controladors adaptatius amb identificació dispersa

2021-2022 – Andreu Casanovas Vejer – ETSEIB-UPC

Implementació de controladors adaptatius amb identificació dispersa

2021-2022 – Roger Domingo Enrich – ETSEIB-UPC

Contact Information

Contact

Head Office

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

Call me

(+34)673788202

EMAIL me

andreu.cecilia@upc.edu