Electrical Engineering Systems Seminar

Abstract:

We review some old problems related to robust control of distributed parameter systems. First, the structure of the H¥-optimal controller is revisited for the mixed sensitivity minimization problem with rational weights. Typically, one approximates the infinite-dimensional parts of the optimal controller to obtain a finite-dimensional controller. We discuss the effect of such approximations on robust stability and the performance level. Secondly, we review the strong stabilization problem for time delay systems: interpolation methods and a small gain approach are presented. Finally, a new family of robust controllers is given for unstable DPS and related open problems are discussed.

Bio:

Hitay Özbay is a Professor of Electrical and Electronics Engineering at Bilkent University, Ankara Turkey, and a Visiting Professor at the University of California, Davis. He received the B.Sc., M.Eng., and PhD degrees from Middle East Technical University (1985), McGill University (1987), and University of Minnesota (1989), respectively. His prior academic affiliations include the University of Rhode Island (1989-1990), and The Ohio State University (1991-2006) where he was a Professor of Electrical and Computer Engineering before joining Bilkent University. He also held a visiting position at INRIA, France (2009-2010). Professor Özbay was a member of the Board of Governors of the IEEE Control Systems Society (2017-2019) and a general assembly member of the European Control Association (EUCA), representing Turkey, 2013-2019. He served as Associate Editor for many journals, including IEEE Transactions on Automatic Control, SIAM Journal on Control and Optimization, and Automatica. He also served as Vice-Chair of IFAC Technical Committees on Networked Control Systems (2005-2011) and Linear Control Systems (2017-2023). He is a Fellow of IEEE.

Website: https://www.ee.bilkent.edu.tr/~ozbay/

This talk is part of the Electrical Engineering Systems Seminar Series, sponsored by the Division of Engineering and Applied Science.