– Biographie : Giuseppe Notarstefano is a Professor in the Department of Electrical, Electronic, and Information Engineering G. Marconi at Alma Mater Studiorum Università di Bologna. He was Associate Professor (June ‘16 – June ‘18) and previously Assistant Professor, Ricercatore, (from Feb ‘07) at the Università del Salento, Lecce, Italy. He received the Laurea degree “summa cum laude” in Electronics Engineering from the Università di Pisa in 2003 and the Ph.D. degree in Automation and Operation Research from the Università di Padova in 2007. He has been visiting scholar at the University of Stuttgart, University of California Santa Barbara and University of Colorado Boulder. His research interests include distributed optimization, cooperative control in complex networks, applied nonlinear optimal control, and trajectory optimization and maneuvering of aerial and car vehicles.
ReunionMODEL- Seminaire Giuseppe Notarstefano
Titre : System theory tools for optimization and learning in complex and distributed systems
– Résumé : In this talk I will address control and learning scenarios requiring the online solution of (possibly distributed) optimization problems. I will first highlight some key challenges arising in addressing these problems as, e.g., online and closed-loop nature of the learning strategy, structure of the required policy, large-scale nature, local communication requirements. Then I will show how system theory tools can be used to design and analyze solution strategies and gain insights on the algorithm performance properties. Energy and robotic systems are key sources of concrete scenarios in which these challenges arise. Applications to these key domains will be shown along with future perspectives.
He has served as an Associate Editor for IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology and IEEE Control Systems Letters. He has been part of the Conference Editorial Board of IEEE Control Systems Society and EUCA. He was a recipient of an ERC Starting Grant 2014.
Teams (cliquer ici)