Prof. Peng Shi

Prof.Peng Shi

The University of Adelaide, Adelaide, Australia

IEEE Fellow, IET Fellow, Editor-in-Chief of IEEE Transactions on Cybernetics

Biography:  Peng Shi received the PhD degree in Electrical Engineering from the University of Newcastle, Australia, the PhD degree in Mathematics from the University of South Australia, the Doctor of Science degree from the University of Glamorgan, UK, and the Doctor of Engineering degree from the University of Adelaide, Australia. He is now a Professor at the School of Electrical and Mechanical Engineering, and the Director of Advanced Unmanned Systems Laboratory, at The University of Adelaide, Australia. His research interests include systems and control theory and applications to autonomous and robotic systems, cyber-physical systems, and multi-agent systems. He received the Ramesh Agarwal Life-time Achievement Award in Science, Engineering and Technology from the International Engineering and Technology Institute in 2023, the MA Sargent Medal Award from Engineers Australia in 2022; the honor of Life-time Achiever Leader-Board and Field Leader from The AUSTRALIAN Research Review from 2019-2022, and the recognition of a Highly Cited Researcher from Thomson Reuters 2014-2022. Currently he serves as the Editor-in-Chief of IEEE Transactions on Cybernetics, a Senior Editor of IEEE Access, and an editorial member for a number of journals, including Automatica and IEEE Transactions on (Artificial Intelligence, and Circuits and Systems). His professional services also include as the President of the International Academy for Systems and Cybernetic Sciences, the Vice President of IEEE SMC Society, and IEEE SMC Society Distinguished Lecturer. He is a Fellow of IEEE, IET, IEAust and CAA, and a Member of the Academy of Europe.

Speech Title: Consensus and Formation Control for Multi-agent Systems

Abstract: The key features of Multi-agent Systems (MAS) are communication, coordination, and collaboration, by which the agents can achieve a common (and possibly difficult) goal in a more effective and efficient way. Three main topics within the realm of MAS are consensus, flocking and formation control. Cooperating processes often require agents to reach a consensus, which is the fundamental problem in MAS. Flocking (or swarming) is a self-organizing behavior originated from small-size animals with lower intelligence, which enables the emergence of swarm intelligence to improve the whole system survivability and competitiveness. Formation control generally aims to drive the agents to achieve a desired formation, scalable and/or changeable. In this talk, modeling analysis and design of a variety of distributed schemes for consensus and formation control are introduced. Simulations and experimental examples are provided to demonstrate the potential of the proposed new design techniques.