July 05, 2011, 4164 HFH

In this talk the basic formulation of Mean Field stochastic control theory and its adaptive generalization will rst be presented; then two new topics will be introduced: (i) a continuum based MF approach to the consensus problem, and (ii) the MF control of populations where there are both major (i.e. massive) agents and mixed populations of egoist-altruist agents.

Carlo Novara received the Laurea degree in Physics from Facolt… di Scienze M.F.N., Universit… di Torino in 1996 and the Ph.D. degree in Computer and System Engineering from Politecnico di Torino in 2002. He has been carrying out his research activity at Dipartimento di Automatica e Informatica of Politecnico di Torino since 1998, where he is now Assistant Professor. He held a visiting research position at the University of California, Berkeley in 2001 and 2004. He has participated in several national and international research projects, also in partnership with private companies. He is author of approximately 60 scientific papers, published in international journals and conference proceedings. He has organized several invited sessions in international conferences. His research interests include nonlinear system identification, filter design, system inversion and control from data, and automotive, environmental and sustainable energy applications.