Control of Population Systems: Equilibria and distributed algorithms

John Lygeros, ETH Zürich

Abstract:  Population systems involve a large number of agents each with
local decision making capabilities that interact through their common
use of shared resources. The mutual constraints imposed by the shared
resources require that the actions of the agents are coordinated. This
can be accomplished through the exchange of information about the global
state of the system, provided, for example, by a central aggregator who
can impose prices on certain actions, or mutual constraints among the
agents. Since the local decision making function of each agent typically
also involves a local cost and local constraints, the question that
arises is what type of information exchange schemes ensure that the
population converges to a fixed point and what the game theoretic
properties of this fixed points are going to be. In this talk we will
address this question by adopting an aggregative game perspective,
motivated by applications to traffic and demand response in electricity

Biography:  John Lygeros completed a B.Eng. degree in electrical engineering
in 1990 and an M.Sc. degree in Systems Control in 1991, both at
Imperial College of Science Technology and Medicine, London, U.K.. In
1996 he obtained a Ph.D. degree from the Electrical Engineering and
Computer Sciences Department, University of California, Berkeley. During
the period 1996-2000 he held a series of research appointments at the
M.I.T., and the Electrical Engineering and U.C. Berkeley. Between 2000
and 2003 he was a University Lecturer at the Department of Engineering,
University of Cambridge, U.K., and a Fellow of Churchill College.
Between 2003 and 2006 he was an Assistant Professor at the Department of
Electrical and Computer Engineering, University of Patras, Greece. In
July 2006 he joined the Automatic Control Laboratory at ETH Zurich,
where he is currently serving as a professor, the Head of the Automatic
Control Laboratory and the Head of the Department of Information
Technology and Electrical Engineering. His research interests include
modelling, analysis, and control of hierarchical, hybrid, and stochastic
systems, with applications to biochemical networks, automated highway
systems, air traffic management, power grids and camera networks. He
teaches classes in the area of systems and control both at the
undergraduate and at the graduate level at ETH Zurich, notably the 4th
semester class Signals and Systems II, which he delivers in a flipped
classroom format. John Lygeros is a Fellow of the IEEE, and a member of
the IET and of the Technical Chamber of Greece.