Speaker
이진규 박사 (Control Group, Department of Engineering, University of Cambridge)
Time/Place
June 04 (Thu) 15:00 / Building 133 Room 316-1
Abstract
Current approaches to obtain fast convergence and robustness with respect to heterogeneities in a network is mostly to use strong coupling gain. On the contrary, it is experimentally observed in neurophysiology that a neuronal circuit achieves rapid convergence and robustness with respect to heterogeneities even under weak synaptic coupling. In this seminar, an overview of the excitability property of a dynamical system, that is crucial for this phenomenon will be provided. Moreover, it will be intuitively shown by linearization that these two phenomena are not so different. In particular, strong diffusive coupling relies on the output feedback contractive property of an individual, while an excitable system under weak synaptic coupling has its linearization output feedback contractive. Finally, recent results on robustness with respect to heterogeneities by weak synaptic coupling based on entrainment property will also be illustrated.
Biography
Jin Gyu Lee received his B.S. and Ph.D. degrees from the Department of Electrical Engineering and Computer Science, Seoul National University, Korea, in 2013 and 2019 respectively. He is currently a postdoctoral researcher in Control Group, Department of Engineering, University of Cambridge, United Kingdom. His research interests include multi-agent systems, observer design, security of cyber–physical systems, and nonlinear systems.
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