Peter Edwin Caines
Distinguished James McGill Professor
Peter E. Caines received the BA in mathematics from Oxford University in 1967 and the PhD in systems and control theory in 1970 from Imperial College, University of London. After Post Doctoral Fellowships and visiting positions at Stanford, UC Berkeley, Toronto and Harvard, he joined Ï㽶ÊÓƵ, Montreal, in 1980, where he is Distinguished James McGill Professor and Macdonald Chair in the Department of Electrical and Computer Engineering. He received the IEEE Control Systems Society Bode Lecture Prize in 2009, is a Fellow of IFAC, CIFAR, SIAM, IEEE, the IMA (UK) and the Royal Society of Canada (2003), and is a member of Professional Engineers Ontario. Peter Caines is the author of Linear Stochastic Systems (Wiley, 1988), now published as a SIAM Classic. His research interests include stochastic systems, mean field game theory and systems on complex networks, together with their applications in natural and artificial systems.
Systems and Control Theory
Stochastic systems theory: filtering, identification and adaptive control
Hybrid and nonlinear systems
Mean Field Control and Game (MFCG) theory and Graphon MFCG theory and their applications in control engineering, communications, networks, economics and biology.