=Paper=
{{Paper
|id=Vol-2815/CERC2020_keynote2
|storemode=property
|title=Formation Control for Multi-agent Systems: Modelling and Analysis
|pdfUrl=https://ceur-ws.org/Vol-2815/CERC2020_keynote2.pdf
|volume=Vol-2815
|authors=Peng Shi
|dblpUrl=https://dblp.org/rec/conf/cerc/Shi20
}}
==Formation Control for Multi-agent Systems: Modelling and Analysis==
https://ceur-ws.org/Vol-2815/CERC2020_keynote2.pdf
Formation Control for Multi-agent Systems: Modelling
and Analysis
Peng Shi[0000-0001-8218-586X]
The University of Adelaide,
School of Electrical and Electronic Engineering, Adelaide, Australia
peng.shi@adelaide.edu.au
Abstract
Multi-agent Systems consist of a group of autonomous (intelligent) agents with char-
acteristics of cooperation and decentralization. All agents act towards their objective(s)
in a shared environment, and is able to communicate each other to coordinate their
actions. As the agents often work under complex circumstances, limitations of the hard-
ware that include limited passive sensing and active communication capabilities are
likely to be present. As a result of the localization conditions above, the agents need to
cooperate in a distributed manner. Formation control, which is one of the most actively
studied topics within the domain of multi-agent systems, generally aims to drive mul-
tiple agents to reach and maintain a desired formation. Formation control systems have
wide applications such as transportations, logistics, search and rescue, surveillance,
military patrolling.
Depending on the agents’ sensing and interaction capabilities, a variety of formation
control problems and some applications will be introduced in this talk. Specifically, we
will provide the analysis and design of distributed formation control strategies under
passive sensing and active communication, respectively. To perform formations under
complex circumstances, collision avoidance and system robustness problems are also
discussed. Examples are used to demonstrate the effectiveness of the proposed tech-
niques.
Speaker Biography
Prof. Peng Shi received the BSc degree in applied mathematics from Harbin Institute
of Technology in 1982, the MSc degree in systems engineering from Harbin Engineer-
ing University in 1985, the PhD degree in Electrical Engineering from the University
of Newcastle, Australia in 1994. He was awarded the Doctor of Science degree from
the University of Glamorgan, UK in 2006, and the Doctor of Engineering degree from
the University of Adelaide in 2015.
He is now a professor at the University of Adelaide. Australia. His research interests
include automation and robotics, cyber-physical systems, and networked control sys-
tems. He has been continuously recognised by Thomson Reuters as a Highly Cited Re-
searcher from 2014-2019 in the fields of engineering and computer science. He has
Copyright © 2020 for this paper by its authors.
Use permitted under Creative Commons License
Attribution 4.0 International (CC BY 4.0).
received a number of awards, including the Best Transactions Paper Award from IEEE
Systems, Man and Cybernetics Society in 2016.
He is a Fellow of Institute of Electrical and Electronic Engineers, the Institution of
Engineering and Technology, and the Institution of Engineers, Australia. He is now a
Member of Board of Governor, IEEE SMC Society, and an IEEE Distinguished Lec-
turer. He was the Chair of Control Aerospace and Electronic Systems Chapter, IEEE
South Australia Section, and a member of College of Expert, Australian Research
Council.
He has served on the editorial board for a number of scientific journals as editor, subject
editor, special issue editor, associate editor, including IEEE Transactions on Automatic
Control/Fuzzy Systems/Cybernetics/Circuits and Systems; IEEE Access; IEEE Control
Systems Letters; Automatica; Information Sciences; Signal Processing; IET Electron-
ics Letters; etc.