报告题目：Analysis and Design on Dynamical Systems with Hybrid Structure
报告人：石碰教授
报告时间：11月15日 9:30
报告地点：行政楼912
报告人简介:
Peng Shi received the PhD degree in Electrical Engineering from the University of Newcastle, Australia in 1994; and the PhD degree in Mathematics from the University of South Australia in 1998. He was awarded two higher doctorate degrees, 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 distinguished professor, chair of systems and control at the University of Adelaide. Australia. His research interests include system and control theory, computational intelligence, and operational research. He has published widely in those areas. He has been continuously recognised by Thomson Reuters as a Highly Cited Researcher from 2014 to 2017. He has 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, the Institute of Mathematics and its Applications, and the Institution of Engineers, Australia. He was the Chair of Control Aerospace and Electronic Systems Chapter, IEEE South Australia Section, and an IEEE Distinguished Lecturer. He has served in the editorial board for a number of scientific journals as editor, subject editor, special issue editor, associate editor, including Automatica, IEEE Transactions on Automatic Control; IEEE Transactions on Fuzzy Systems; IEEE Transactions on Cybernetics; IEEE Transactions on Circuits and Systems; IEEE Access; IEEE Control Systems Letters; Information Sciences; Signal Processing; etc.
报告内容简介:
A large class of dynamical systems has variable structures subject to deterministic or random changes, which may result from the abrupt phenomena such as component and interconnection failures, parameters shifting, tracking, and the time required to measure some of the variables at different stages. Systems with this character may be modelled as hybrid ones, that is, to the continuous state variable, a discrete variable called the mode, or operating form, is appended. The mode describes the changes or random jumps of the system parameters and the occurrence of discontinuities. On the other hand, in order to control the behaviour of a system, we should capture the system's salient features in a mathematical model. Indeed, any model of practical systems almost always contains some type of uncertainty. So the modelling and design should take into account the uncertainty inherent to a model of the system in order to maintain stability and performance specifications in the presence of these uncertainties. In this talk, the nature of hybrid dynamical systems will be explored, and some design techniques for such systems with uncertainties will be presented.
