Decentralized control, optimization, sparse estimation
Professor Michael Rotkowitz received the B.S. degree in Mathematical and Computational Science (with Honors and with Distinction) from Stanford University, Stanford, CA, in 1996. He then worked for J.P. Morgan Investment Management,New York, until 1998. He returned to Stanford and received the Ph.D. degree in Aeronautics and Astronautics in 2005. During that time, he also received the M.S. degree in Aeronautics and Astronautics and the M.S. degree in Statistics, and worked for NASA Ames Research Center.
Dr. Rotkowitz was the Postdoctoral Fellow in Networked Embedded Control in the School of Electrical Engineering at the Royal Institute of Technology (KTH), Stockholm, Sweden from 2005-6, and a Research Fellow in the Department of Information Engineering at the Australian National University in Canberra, Australia from 2006-8. He then joined the University of Melbourne where he held the positions of Queen Elizabeth II Fellow and Future Generation Fellow in the Department of Electrical and Electronic Engineering, as well as Honorary Fellow in the Department of Mathematics and Statistics.
He gave a a semi-plenary address at the 20th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2012) in Melbourne, Australia, in July 2012, entitled: “Information Structures, Stability, and Optimality.” He also gave a tutorial session at the 51st IEEE Conference on Decision and Control (CDC) in Maui, Hawaii, in December 2012, entitled “Information Structures in Optimal Decentralized Control”, along with Nuno Martins of UMD(organizer), Aditya Mahajan of McGill University, and Serdar Yüksel of Queen’s University.
Honors and Awards
Presidential Early Career Award for Scientists and Engineers (PECASE), 2017
NSF CAREER Award, "Decentralization and Parsimony for Implementable Control of Massively Interconnected Systems," 2013
SIAM Control and Systems Theory Prize "for Contributions to the theory of optimal controller synthesis for decentralized systems subject to information and control constraints," 2011
George S. Axelby Outstanding Paper Award for the best paper in the IEEE Transactions on Automatic Control, 2005-2006 for "A Characterization of Convex Problems in Decentralized Control," 2007