Special Lecture:
Randomized Algorithms for Analysis and Synthesis of Uncertain Systems

Abstract

More than 20 years have passed since randomized algorithms for analysis and synthesis of uncertain systems attracted our attention as a method for coping with the computational complexity inherent in robust control theory. Such probabilistic approaches have shown various developments, from system analysis to system synthesis, from feasibility problems to optimization problems, and from centralized algorithms to distributed algorithms. In this lecture, we will take a look back on some developments of these studies so far and discuss future prospects on this research field.

Biography

Yasumasa Fujisaki received his B.S., M.S., and Ph.D. degrees in Engineering from Kobe University, Kobe, Japan, in 1986, 1988, and 1994, respectively. From 1988 to 1991, he was a Research Member of the Electronics Research Laboratory, Kobe Steel, Ltd., Kobe, Japan. From 1991 to 2010, he was with Kobe University and served as a Research Associate and an Associate Professor. Since 2010, he has been a Professor of the Department of Information and Physical Sciences, Osaka University, Suita, Japan. He has served as the Editor-in-Chief for SICE Transactions since 2019 and previously served as an Editor for SICE JCMSI and an Associate Editor for Automatica. His research interests include probabilistic methods for analysis and design of control systems, two-degree-of-freedom servosystems, and decentralized control of large-scale systems.

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