Plenary Talk

The 56th Annual Allerton Conference on Communications, Control, and Computing Plenary Lecture will be given on the afternoon of Thursday, October 4, 2018, by the Dudley Professor of Engineering,  A. Stephen Morse from the Department of Electrical Engineering at Yale University.

Title:  State Estimation Using Distributed Processing


The problem of estimating the state of a linear system whose measured outputs are distributed across a network has been under study in one form or another for a number of years. Despite this, only recently have provably correct distributed state observers emerged which solve this problem under reasonably non – restrictive assumptions. The aim of this talk is to describe some of these observers and the conditions under which they can provide asymptotically correct state estimates. For any of these observers to function robustly in the face of small modeling errors, it is necessary for the process whose state is to be estimated to be stable. Interestingly this stability requirement is also necessary for centralized {robust} state estimation, whether the estimator is a classical observer or even a  Kalman filter.


A. Stephen Morse was born in Mt. Vernon, New York. He received a BSEE degree from Cornell University, MS degree from the University of Arizona, and a Ph.D. degree from Purdue University. He was associated with the Office of Control Theory and Application {OCTA} at the NASA Electronics Research Center in Cambridge, Mass. Since 1970 he has been with Yale University where he is presently the Dudley Professor of Engineering. His main interest is in system theory and he has done research in network synthesis, optimal control, multivariable control, adaptive control, urban transportation, vision-based control, hybrid and nonlinear systems, sensor networks, and coordination and control of large groupings of mobile autonomous agents. He is a Life Fellow of the IEEE, an IFAC Fellow, a past Distinguished Lecturer of the IEEE Control System Society, and a co-recipient of the Society’s 1993 and 2005 George S. Axelby Outstanding Paper Awards. He has twice received the American Automatic Control Council’s Best Paper Award and is a co-recipient of the Automatica Theory/Methodology Prize. He is the 1999 recipient of the IEEE Technical Field Award for Control Systems. He is the 2013 recipient of the American Automatic Control Council’s Richard E. Bellman Control Heritage Award. He is a member of the National Academy of Engineering and the Connecticut Academy of Science and Engineering.