报 告 人：余星火，澳大利亚皇家墨尔本理工大学教授
（RMIT University, Melbourne, Australia）
报告题目：Switching in Complex Network Systems: A Control Engineering Perspective
内容简介：Many real-world systems are of large-scale network nature, such as power grids and biological systems. A major challenge is how to deal with sheer size and complexity of these large-scale networked systems to deliver desirable and time-critical outcomes. Switching phenomena are common in complex network systems. Understanding the switching phenomena in complex network systems will help address significant industrial problems such as maintaining stability of smart grids with large number of intermittent renewable energy sources.
In this talk, we will first discuss typical switching behaviours in continuous-time and discrete-time settings, and give a brief overview of main stream switching based control theories. We will then look at how to tailor these theories to study switching behaviours in complex network systems and design their intervention/control strategies. Key technical issues and future challenges in this field will be outlined.
报告人简介：Professor Xinghuo Yu is Associate Deputy Vice-Chancellor in Research & Innovation and a Distinguished Professor in Information Systems Engineering at RMIT University (Royal Melbourne Institute of Technology), Melbourne, Australia. He chairs RMIT Professorial Academy.
He is the President of IEEE Industrial Electronics Society (2018-2019).
He received BEng and MEng degrees from the University of Science and Technology of China, Hefei, China, in 1982 and 1984, and PhD degree from Southeast University, Nanjing, China in 1988, respectively. He started his academic career in 1989 as a Postdoctoral Fellow with the University of Adelaide, Adelaide, Australia. In 1991, he joined Central Queensland University, Rockhampton, Australia, where, before he left in 2002, he was Chair Professor of Intelligent Systems and Associate Dean (Research) of Faculty of Informatics & Communication. Since 2002, he has been with RMIT University, where he held various senior positions such as Associate Dean and Research Institute Director.
His main research areas include control systems engineering, intelligent and complex systems, smart grids and energy systems. He received many awards and honours for his contributions, including the prestigious the 2018 M. A. Sargent Medal from the Institution of Engineers Australia, the 2018 Australasian Artificial Intelligence Distinguished Research Contribution Award from the Australian Computer Society, and the 2013 Dr.-Ing. Eugene Mittelmann Achievement Award of IEEE Industrial Electronics Society. He was named a Highly Cited Researcher by Clarivate Analytics and Thomson Reuters in 2015-2018. He is a Fellow of the IEEE, Institution of Engineers Australia, Australian Computer Society, and Australian Institute of Company Directors.