Distributed Online Optimization and Game Theory
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Distributed Online Optimization and Game Theory

Distributed Online Optimization and Game Theory


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About the Book

With the advent of embodied intelligence, big data, privacy preservation, and dynamic environments, etc., distributed real-time decision-making over multi-agent networks has become more and more important in many research communities, such as computer science, systems and control, artificial intelligence and robotics, which can be cast as the problem of distributed online optimization and game theory. In this respect, the book introduces distributed online optimization and game theory for cooperative and competitive behaviors, respectively, in a comprehensive means, facilitating interested readers to understand the area in a systematic manner.



Table of Contents:

Chapter 1 Preliminary Knowledge.- Chapter 2 Set-Constrained Distributed Online Optimization.- Chapter 3 Distributed Online Optimization with Coupled Inequality Constraints.- Chapter 4 Distributed Online Composite Optimization.- Chapter 5 Online Control with DOO.- Chapter 6 Online Game Theory.



About the Author :

Xiuxian Li is a professor of Tongji University. He received the B.S. degree in mathematics and applied mathematics and the M.S. degree in pure mathematics from Shandong University, and the Ph.D. degree in mechanical engineering from the University of Hong Kong, Hong Kong. He has been a research fellow with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interests include distributed control and optimization, game theory, and autonomous robot. He has published more than 100 journal and conference papers, including top-tier journals IEEE TAC, IEEE TSP, IEEE T-RO, IEEE RA-L and flagship conferences IEEE CDC, ICML, IROS, and so on. He is the recipient of the best paper award in 2025 IEEE International Conference on Control & Automation (ICCA). He serves as an associate editor for IEEE Open Journal of Control Systems. He is a member of IEEE CSS Conference Editorial Board, and a senior member of IEEE.

Min Meng is a professor of Tongji University. She received the B.S. and Ph.D. degrees from Shandong University, China. She was positioned as a Research Associate in Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China. And she was a Research Associate in Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China. After that, she worked as a Research Fellow in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Her research interests include multi-agent systems, distributed games and optimization, Boolean networks, distributed secure control and estimation, etc. She has published more than 100 journal and conference papers.

Yang Yu is currently a Postdoctoral Fellow at Baima Lake Laboratory. He received his Ph.D. degree in Control Science and Engineering from the College of Electronic and Information Engineering, Tongji University. His research focuses on distributed optimization and control theory.

Yiguang Hong received the B.S. and M.S. degrees from Peking University, Beijing, China, and the Ph.D. degree from the Chinese Academy of Sciences (CAS), Beijing, China. He is currently a Professor with the Department of Control Science and Engineering, and Shanghai Institute of Intelligent Science and Technology, Tongji University. Before this, he was a Professor with the Academy of Mathematics and Systems Science, CAS. His current research interests include nonlinear control, multi-agent systems, distributed optimization and game, machine learning, and social networks. Dr. Hong is a Fellow of Chinese Association for Artificial Intelligence, and a Fellow of Chinese Association of Automation (CAA). Additionally, he is the Chair of Technical Committee of Control Theory of CAA and was a Board of Governor of IEEE Control Systems Society. He serves as the Editor-in-Chief of Control Theory and Technology. He also serves or served as the Associate Editor for many journals including the IEEE Transactions on Automatic Control, IEEE Transactions on Control of Network Systems, and IEEE Control Systems Magazine. Moreover, he was the recipient of the Guan Zhaozhi Award at the Chinese Control Conference, Young Author Prize of the IFAC World Congress, Young Scientist Award of CAS, the Youth Award for Science and Technology of China, and the National Natural Science Prize of China.

Lihua Xie received the Ph.D. degree in electrical engineering from the University of Newcastle, Australia, in 1992. Since 1992, he has been with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, where he is currently President’s Chair in Control Engineering and Director, Center for Advanced Robotics Technology Innovation. He has served as the Head of Division of Control and Instrumentation and Co-Director, Delta-NTU Corporate Lab for Cyber-Physical Systems. He held teaching appointments in the Department of Automatic Control, Nanjing University of Science and Technology from 1986 to 1989. Dr Xie’s research interests include robust control and estimation, networked control systems, multi-agent networks, and unmanned systems. He is an Editor-in-Chief for Unmanned Systems and Associate Editor for IEEE Control System Magazine. He has served as Editor for IET Book Series in Control and Associate Editor for a number of journals including IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Control Systems Technology, IEEE Transactions on Network Control Systems, etc. He was an IEEE Distinguished Lecturer (Jan 2012 - Dec 2014) and the General Chair of the 62nd IEEE Conference on Decision and Control (CDC 2023). He is currently Vice-President of IEEE Control System Society. Dr Xie is Fellow of IEEE, IFAC, and Academy of Engineering Singapore.

 


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Product Details
  • ISBN-13: 9789819581726
  • Publisher: Springer Verlag, Singapore
  • Publisher Imprint: Springer Verlag, Singapore
  • ISBN-10: 9819581729
  • Publisher Date: 19 May 2026


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