معرفی
Carlo Novara is a Full Professor at Politecnico di Torino, affiliated with the Department of Electronics and Telecommunications (DET) and the Interdepartmental Center CARS@PoliTO - Center for Automotive Research and Sustainable Mobility. He serves as a member of the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering.
His research interests span aerospace control systems, autonomous and assisted vehicles, biomedical engineering, design of experiments, energy system control and optimization, model predictive control, modeling and simulation, set membership estimation, statistical analysis, system identification, machine learning, complex networks and systems, prediction and estimation, and quantum optimization. His work focuses on nonlinear and LPV system identification, filtering/estimation, time series prediction, nonlinear control, predictive control, data-driven methods, set membership methods, sparse methods, and nonlinear optimization with applications in automotive, aerospace, biomedical, and energy domains.
His recent publications demonstrate strong trends in nonlinear model predictive control, physics-based system identification, and space applications. Many papers focus on computational efficiency for real-time control, with increasing emphasis on quantum optimization techniques and space mission applications like the LISA mission. His work bridges theoretical control methods with practical applications in automotive, aerospace, and energy systems.
Professional Recognition:
- Member of IEEE TC on System Identification and Adaptive Control
- Member of IFAC TC on Modelling, Identification and Signal Processing
- Founding member of IEEE-CSS TC on Medical and Healthcare Systems
Professor Novara has supervised numerous PhD students including Lucrezia Lovaglio, Giovanni Marinello, Francesco Cerrito, Sabrina Savino, Cesare Donati, and Mattia Boggio. His research has been supported by significant grants including the CNMS - Spoke 2 Sustainable Mobility Center (2022-2025), PRYSTINE ECSEL project (2018-2021), and multiple commercial research contracts with ESA and other aerospace organizations.
He leads research in the Automatica research group at DET, focusing on advanced control algorithms for aerospace applications, data-driven control of autonomous vehicles and biomedical systems, quantum optimization for complex system design, and modeling and optimization of networked systems.
Carlo Novara در سایتهای دیگر
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