The tentative technical program is updated(February 20, 2019).
The time allocated for each speaker of accepted papers is
20 minutes (15 minutes presentation followed by 5 minutes!
questions and answers).
Each session room is equipped with a LCD projector with a D-sub 15pin cable and a HDMI cable. Speakers are asked to bring their own laptops as we do not provide PCs for presentation.
Abstract: Low gain feedback refers to a family of stabilizing state feedback gains that are parameterized in a scalar, referred to low gain parameter, and go to zero as the low gain parameter decreases to zero. Low gain feedback was initially proposed to achieve semi-global stabilization of linear systems subject to input saturation, and later found its other applications in the stabilization of nonlinear systems and linear systems with input delays. In this talk, we discuss the concept of low gain feedback, its properties, its design methods and its applications in constrained control, nonlinear stabilization and control of time-delay systems.
Zongli Lin is the Ferman W. Perry Professor in the School of Engineering and Applied Science and a Professor of Electrical and Computer Engineering at University of Virginia. He received his B.S. degree in mathematics and computer science from Xiamen University, Xiamen, China, in 1983, his Master of Engineering degree in automatic control from Chinese Academy of Space Technology, Beijing, China, in 1989, and his Ph.D. degree in electrical and computer engineering from Washington State University, Pullman, Washington, in 1994.
His current research interests include nonlinear control, robust control, time delay systems, and control applications.
Dr. Zongli Lin was an Associate Editor of the IEEE Transactions on Automatic Control (2001-2003), IEEE/ASME Transactions on Mechatronics (2006-2009) and IEEE Control Systems Magazine (2005-2012). He was elected a member of the Board of Governors of the IEEE Control Systems Society (2008-2010, 2019-2021) and chaired the IEEE Control Systems Society Technical Committee on Nonlinear Systems and Control (2013-2015). He has served on the operating committees several conferences and was the program chair of the 2018 American Control Conference and a general chair of the 13th and 16th International Symposium on Magnetic Bearings (2012, 2018). He currently serves on the editorial boards of several journals and book series, including Automatica, Systems & Control Letters, Science China Information Sciences, and Springer/Birkhauser book series Control Engineering. He is a Fellow of IEEE, IFAC, AAAS (American Association for the Advancement of Science) and CAA (Chinese Association of Automation).
Abstract: The study of large scale and complex interconnected systems is of great importance in today's networked world with applications ranging from distributed power generation to deep space exploration. A great challenge for these systems is to understand the interplay between the dynamic properties of the individual systems comprising the networks, the underlying information exchange network, and the interaction protocols governing the collective behavior. In this talk we will explore necessary and sufficient conditions for a network of passive dynamical systems to reach an output agreement, i.e., the trajectories of each system will synchronize. The leads to a refinement of classical passivity theory that we term maximal equilibrium passivity. We then show that the steady-state behavior of these systems are in fact solutions to a family of classic network optimization problems, and as a result we draw connections between notions of duality in static optimization to cooperative control. This network optimization perspective also leads to synthesis methods for controllers to guarantee the desired behavior of the network and provides new insights to classical problems such as feedback passivation.
Biography: Daniel Zelazo is an Associate Professor of Aerospace Engineering at the Technion - Israel Institute of Technology. He received his BSc. (’99) and M.Eng (’01) degrees in Electrical Engineering & Computer Science from the Massachusetts Institute of Technology. Before beginning his doctoral studies, he worked for two years on audio compression algorithms as a research engineer at Texas Instruments, Japan. In 2009, he completed his Ph.D. from the University of Washington in Aeronautics and Astronautics. From 2010-2012 he served as a post-doctoral research associate and lecturer at the Institute for Systems Theory & Automatic Control in the University of Stuttgart, and he joined the Technion in 2012. His research interests include topics related to multi-agent systems, optimization, and graph theory.
The banquet will be held from 18:30 through 21:00, Saturday March 8, 2019, at Hotel Nikko Kumamoto (access.pdf).