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In an increasingly interconnected world, understanding and forecasting the evolution of agents’ opinions over time is crucial. The study of opinion dynamics, through the analysis of social interactions, helps to model real-world phenomena such as opinion propagation, group polarization, and consensus formation. To address these complexities, a variety of opinion dynamics models have been developed. In this talk, several well-known opinion models over cooperative–antagonistic social networks are introduced from a control-theoretic perspective. Their convergence properties, as well as possible design and control strategies, are discussed. Recently achieved results are presented and illustrated through numerical simulations.

Bio: Professor T. C. Lee received the M.S. degree in Mathematics in 1990 and the Ph.D. degree in Electrical Engineering in 1995 from National Tsing Hua University, Hsinchu, Taiwan. He joined Minghsin University of Science and Technology, Hsinchu, as an Assistant Professor in the Department of Electrical Engineering and was promoted to Professor in 2005. He served as Dean of the College of Engineering from 2014 to 2017. Professor Lee became a Senior Member of IEEE in 2017. Since 2021, he has been a Professor in the Department of Electrical Engineering at Sun Yat-sen University. He also serves as an Associate Editor of IEEE Transactions on Automatic Control. His main research interests include stability theory, artificial intelligence, and quantum control.