• INGEGNERIA INFORMATICA E DEI SISTEMI, 2021/2022 (38. ciclo)
  Politecnico di TORINO
• INGEGNERIA INFORMATICA E DEI SISTEMI, 2018/2019 (35. ciclo)
  Politecnico di TORINO
• INGEGNERIA INFORMATICA E DEI SISTEMI, 2017/2018 (34. ciclo)
  Politecnico di TORINO
• INGEGNERIA INFORMATICA E DEI SISTEMI, 2016/2017 (33. ciclo)
  Politecnico di TORINO
• INGEGNERIA INFORMATICA E DEI SISTEMI, 2015/2016 (32. ciclo)
  Politecnico di TORINO

• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente

• SIC - System Identification & Control

Projects funded by competitive calls

• OpThermEV - Optimal Thermal Management for Electrified Vehicles:a model predictive control approach based on route information and V2X connectivity , (2021-2022) - Responsabile Scientifico di Struttura
  Corporate-funded and donor-funded research

• Francesco Ripa. Programme in Ingegneria Informatica E Dei Sistemi (cycle 39, 2023-in progress)
• Simone Pirrera. Programme in Ingegneria Informatica E Dei Sistemi (cycle 37, 2021-in progress)
  Research subject: Theoretical development of data-driven algorithms for system identification and control
  
  Life sciences
  Life sciences
• Abdul Salam. Programme in Ingegneria Informatica E Dei Sistemi (cycle 34, 2018-2022)
  Thesis: Model-based and data-based frequency domain design of fixed structure robust controller: a polynomial optimization approach

• Cerone, V; Fosson, S; Pirrera, S; Regruto, D (2023)
  Alternating direction method of multipliers for polynomial optimization. In: 2023 European Control Conference (ECC), Bucharest, Romania, 13-16 June 2023, pp. 1-6. ISBN: 978-3-907144-08-4
  Contributo in Atti di Convegno (Proceeding)
• Cerone, V.; Fosson, S.; Regruto, D. (2023)
  Fast sparse optimization via adaptive shrinkage. In: 22nd IFAC World Congress, Yokohama (JPN), July 9-14, 2023, pp. 10390-10395. ISSN 2405-8963
  Contributo in Atti di Convegno (Proceeding)
• Abuabiah, Mohammad; Cerone, Vito; Pirrera, Simone; Regruto, Diego (2023)
  A Non-Iterative Approach to Direct Data-Driven Control Design of MIMO LTI Systems. In: IEEE ACCESS, vol. 11, pp. 121671-121687. ISSN 2169-3536
  Contributo su Rivista
• Ballatore, MARIA GIULIA; Razza, Valentino; REGRUTO TOMALINO, Diego; Stievano, IGOR ... (2022)
  The Educational Benefit of a Remote Automatic Control Laboratory. A Win-Win Collaboration between Asia and Europe. In: EDUCATION IN THE KNOWLEDGE SOCIETY, vol. 23. ISSN 2444-8729
  Contributo su Rivista
• Cerone, Vito; Fosson, Sophie; Pirrera, Simone; REGRUTO TOMALINO, Diego (2022)
  Set-membership identification of continuous-time systems through model transformation. In: 61th IEEE Conference on Decision and Control (CDC 2022), Cancun, Mexico, December 6-9, 2022, pp. 868-873
  Contributo in Atti di Convegno (Proceeding)
• Cerone, V.; Razza, V.; Regruto, D. (2021)
  A unified framework for the identification of a general class of multivariable nonlinear block-structured systems. In: INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, vol. 31, pp. 7344-7360. ISSN 1049-8923
  Contributo su Rivista
• Fosson, Sophie M.; Cerone, V.; Regruto, D.; Abdalla, T. (2021)
  A Concave Approach to Errors-In-Variables Sparse Linear System Identification. In: the 19th IFAC Symposium on System Identification, pp. 298-303
  Contributo in Atti di Convegno (Proceeding)
• Fosson, Sophie M.; REGRUTO TOMALINO, Diego; Abdalla, TALAL ALMUTAZ ALMANSI; Salam, Abdul (2021)
  A convex optimization approach to online set-membership EIV identification of LTV systems. In: The 2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Tokyo (Japan), 8-10 Sept. 2021, pp. 1442-1447. ISBN: 978-1-6654-0591-1
  Contributo in Atti di Convegno (Proceeding)
• Cerone, V.; Fosson, S.; Regruto, D. (2021)
  A non-convex adaptive regularization approach to binary optimization. In: 60th IEEE Conference on Decision and Control, CDC 2021, Austin, TX (USA), 14-17 December 2021, pp. 3844-3849. ISSN 0743-1546. ISBN: 978-1-6654-3659-5
  Contributo in Atti di Convegno (Proceeding)
• Cerone, V.; Abuabiah, M.; Regruto, D. (2020)
  An H∞ method to design the reference model in direct data-driven control design. In: 59th IEEE Conference on Decision and Control (CDC), Jeju Island (Republic of Korea), December 14-18, 2020, pp. 6004-6009. ISBN: 978-1-7281-7447-1
  Contributo in Atti di Convegno (Proceeding)