topic 1：
Analysis and Design on Dynamical Systems with Hybrid Structure
Abstract: 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.
Peng Shireceived the Bachelor degree of Mathematics from Harbin Institute of Technology; the Master degree of Systems Engineering from Harbin Engineering University; China, respectively; the PhD degree in Electrical Engineering from the University of Newcastle; and the PhD degree in Mathematics from the University of South Australia, Australia, respectively.
He was awarded the Higher Doctorate degree, Doctor of Science by the University of Glamorgan, UK in 2006, and Doctor of Engineering by the University of Adelaide, Australia in 2015.
He is now a professor, Chair in Systems and Control, in the University of Adelaide, Australia. He was a professor in Victoria University, Australia; the University of Glamorgan, UK; and a senior scientist in the Defence Science and Technology Organisation, Australia. He was the Chair of Control Aerospace and Electronic Systems Chapter, IEEE South Australia Section. Currently he serves as an IEEE Distinguished Lecturer; and a Member of Australian Research Council, College of Expert.
He is a Fellow of the Institute of Electrical and Electronic Engineers, the Institution of Engineering and Technology; and the Institute of Mathematics and its Applications. He has actively served in the editorial board of a number of journals, including Automatica; IEEE Transactions on Automatic Control; IEEE Transactions on Cybernetics; IEEE Transactions on Fuzzy Systems; IEEE Transactions on Circuits and Systems; and IEEE Access.
His research interests include system and control theory, intelligent systems, and operational research. He is the co-recipient of the Andrew Sage Best Transactions Paper Award from IEEE Systems, Man and Cybernetics Society in 2016. He has been recognised as a Highly Cited Researcher by ISI Thomson Reuters in 2014, 2015 and 2016.
topic 2：
讲座题目：基于共演化博弈理论的动态环境下群体协同演化机制研究及其应用
个人简介：游晓明，上海工程技术大学，教授
研究方向：从事复杂系统的智能处理理论及应用研究，近年来对群体智能理论及应用展开了一系列相关研究。
讲座内容：首先，提出了群体社会行为分类机制和评价方法，从而探讨群体社会行为特征定性和定量分析，为探索动态环境下群体行为特征分析提供新理论和新方法。其次，提出共演化反馈机制启发的群体行为分析方法，通过研究群体结构和群体行为间协同演化机制，进一步揭示群体行为演化规律。最后，开展先进群智能模型及其在机器人导航问题中的应用研究，构建面向多机器人导航问题的群体协同演化仿真平台。
