Francesco Bullo

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Francesco Bullo is a Professor with the Mechanical Engineering Department at the University of California, Santa Barbara. He received the Laurea degree "summa cum laude" in Electrical Engineering from the University of Padova, Italy, in 1994, and the Ph.D. degree in Control and Dynamical Systems from the California Institute of Technology in 1999. From 1998 to 2004, he was an Assistant Professor with the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign.

His main research interests are network systems and distributed control with application to robotic coordination, power grids and social networks. He is the coauthor, with Andrew D. Lewis, of the book "Geometric Control of Mechanical Systems" (Springer, 2004, 0-387-22195-6) and, with Jorge Cortés and Sonia Martínez, of the book "Distributed Control of Robotic Networks" (Princeton, 2009, 978-0-691-14195-4). He is an IEEE Fellow. His students' papers were finalists for the Best Student Paper Award at the IEEE Conference on Decision and Control (2002, 2005, 2007), and the American Control Conference (2005, 2006, 2010). His articles received the 2008 IEEE CSM Outstanding Paper Award, the 2011 Hugo Schuck Best Paper Award, the 2013 SIAG/CST Best Paper Prize, and the 2014 Automatica Best Paper Prize. He has published more than 250 papers in international journals and refereed conferences. He has served on the Editorial Boards of "IEEE Transactions on Automatic Control," "ESAIM: Control, Optimization, and the Calculus of Variations," "SIAM Journal of Control and Optimization," and "Mathematics of Control, Signals, and Systems".


Contact Information
(805) 893.5169
(805) 893.8651
University of California-Santa Barbara
President Elect - 2017; CSS Board of Governors, term ending 31 December 2018 (elected); Distinguished Lecturer


Department of Mechanical Engineering, Center for Control, Dynamical Systems and Computation, Engineering Bldg II, Room 2338
Santa Barbara, California 93106-5070
United States

Distinguished Lecture Program

Talk Title: Network Systems in Science and Technology

Network systems are mathematical models for the study of cooperation,
propagation, synchronization and other dynamical phenomena that arise among
interconnected agents. Network systems are widespread in science as they
are fundamental modeling tools, e.g., in sociology, ecology, and
epidemiology. They also play a key growing role in technology, e.g., in the
design of power grids, cooperative robotic behaviors and distributed
computing algorithms. Their study pervades applied mathematics.

This talk will review established and emerging frameworks for modeling,
analysis and design of network systems.  I will survey the available
comprehensive theory for linear network systems and then highlight selected
nonlinear concepts.  Next, I will focus on recent developments by my group
on (i) modeling of the evolution of opinions and social power in social
networks, (ii) analysis of security and transmission capacity in power
grids, and (iii) design of optimal strategies for robotic routing and