Peng Shi received the PhD degree in Electrical Engineering from the University of Newcastle, Australia, and the PhD degree in Mathematics from the University of South Australia. He was awarded two Higher Doctorates: Doctor of Science degree from University of Glamorgan, Wales; and the Doctor of Engineering degree from University of Adelaide, Australia. He is now a Distinguished Professor, Director of Laboratory of Advanced Unmanned Systems, and Laboratory of Cyber-Physical Human Systems at University of Adelaide, Australia. His research interests include systems and control theory and applications to autonomous and robotic systems, intelligence systems, and cyber-physical systems. He received a number of recognitions and awards, such as the IEEE Nobert Wiener Award from IEEE SMC Society in 2024, the Ramesh Agarwal Life-time Achievement Award from International Engineering and Technology Institute (IETI) in 2023, the Meritorious Service Award from IEEE SMC Society in 2023, the M. A. Sargent Medal Award from Institution of Engineers Australia (IEAust) in 2022, the Highly-Cited Researcher from Thomson Reuters/Clarivate Analytics consecutively since 2014, the recognition of the Lifetime Achiever Leader-Board and Field Leader from The Australian Research Review from 2019-2024, the Outstanding Research Achievement Award from University of Adelaide in 2020, the Chancellor’s Gold Medal Award for Outstanding Research Performance from Victoria University in 2018, the Runner-up of Scopus Researcher of the Year Award from Elsevier in 2017, and the Andrew Sage Best Transactions Paper Award from IEEE SMC Society in 2016. His professional service includes as Board of Governors Member, Vice President and Distinguished Lecturer of IEEE SMC Society, and President of the International Academy of Systems and Cybernetic Science. He is a member of Academy of Europe, European Academy of Science and Arts, and Academy of Romanian Scientists. He is a Fellow of IEEE, IET, IETI, IEAust, and CAA. He served as Associate Editor of IEEE Transactions on (Automatic Control, Fuzzy Systems, Circuits and Systems). Currently he serves as the Editor-in-Chief of IEEE Transactions on Cybernetics, a Senior Editor of IEEE Access, and an Associate Editor of Automatica, and IEEE Transactions on Artificial Intelligence.
The key features of Multi-Agent Systems (MAS) are communication, coordination, and collaboration, enabling agents to achieve common, often challenging, goals more effectively and efficiently. While MAS have numerous applications and offer substantial benefits, they face challenges in resilient communication, safe collaboration, and adaptability under dynamic constraints. This talk discusses real-world applications of MAS, especially in autonomous systems, and their current challenges in open and dynamic environment. It presents the analysis and design of novel cooperative control strategies to address these challenges. Experimental examples are provided to validate these innovative design techniques and assess their practical performance. Possible technological breakthroughs in the next five years are discussed, emphasizing MAS as a cornerstone in the evolution of autonomous systems and robotics.
