Using Delay for Control

In this talk by "using delays" I understand either Time-Delay Approaches to control problems (that originally may be free of delays) or intentional inserting delays to the feedback. 

I will start with an old Time-Delay approach - to sampled-data control. In application to network-based control with communication constraints, this is the only approach that allows treating transmission delays larger than the sampling intervals. 

I will continue with "using artificial delays" via simple Lyapunov functionals that lead to feasible LMIs for small delays and to simple sampled-data implementation. Finally I will present a recent Time-Delay approach - this time to Averaging. The existing results on averaging (that have been developed for about 60 years starting from the works of Bogoliubov and Mitropolsky) are qualitative: the original system is stable for small enough values of the parameter if the averaged system is stable. 

Our approach provides the first quantitative bounds on the small parameter making averaging-based control (including vibrational and extremum seeking control) reliable.

SHORT BIO

Emilia Fridman received the M.Sc and Ph.D in mathematics in Russia. Since 1993 she has been at Tel Aviv University, where she is currently Professor in the Department of Electrical Engineering - Systems. She has held numerous visiting positions in Europe, China and Australia. Her research interests include time-delay systems, networked control systems, distributed parameter systems, robust control and extremum seeking. She has published more than 200 journal articles and 2 monographs. 

In 2021 she was recipient of IFAC Delay Systems Life Time Achievement Award and of Kadar Award for outstanding research in Tel Aviv University. In 2023 her monograph ``Introduction to Time-Delay Systems: Analysis and Control" (Birkhauser, 2014) was the winner of IFAC Harold Chestnut Control Engineering Textbook Prize.