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This work was supported by the Shanghai Sailing Program (No. 20YF1453000) and the Fundamental Research Funds for the Central Universities (No. 22120200048).
Peng YI received the B.E. degree in Automation from the University of Science and Technology of China, Hefei, China, in 2011, and received his Ph.D. degree in Operations Research and Cybernetic from Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China, in 2016. He was a postdoctoral fellow in the Department of Electrical & Computer Engineering, University of Toronto, Canada from July 2016 to July 2017. He was a postdoctoral associate in the Department of Electrical and Systems Engineering, Washington University in St. Louis, U.S.A. from July 2017 to July 2019. He is now a Professor in the Department of Control Science & Engineering, Tongji University. His research interests cover multi-agent systems, distributed optimization, game theory, neural systems and smart grid. E-mail: yipeng@tongji.edu.cn.
Tongyu WANG received the B.E. degree in Automation from the Tianjin University, Tianjin, China, in 2014, and the M.Sc. degree from Lanzhou Institute of Physics, China, 2019. He is currently a Ph.D. candidate at Tongji Universtiy, Shanghai, China. His research interests cover multi-agent systems, game theory. E-mail: wang_tongyu@tongji.edu.cn.
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Yi, P., Wang, T. New directions in distributed Nash equilibrium seeking based on monotone operator theory. Control Theory Technol. 18, 333–335 (2020). https://doi.org/10.1007/s11768-020-0109-z
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DOI: https://doi.org/10.1007/s11768-020-0109-z