2026年学术报告通知（八）温长云：Decentralized Prescribed-Time Control for Interconnected Systems

报告题目：Decentralized Prescribed-Time Control for Interconnected Systems

报告时间：2026年7月9日（周四）下午15:00-16:00

报告地点：电气馆 A104

报告人：Wen Changyun 教授

报告人简介：

Changyun Wen received his B.Eng from Xi’an Jiaotong University, China in July 1983 and Ph.D from the University of Newcastle, Australia in Feb 1990. From August 1989 to August 1991, he was a Research Associate and then Postdoctoral Fellow at the University of Adelaide, Australia. Since August 1991, He has been with Technological University since August 1991.

He is a Fellow of IEEE, was a Member of the IEEE Fellow Committee from Jan 2011 to Dec 2013 and a Distinguished Lecturer of IEEE Control Systems Society from Feb 2010 to Feb 2013. He is also a Fellow of the Academy of Engineering, Singapore. 

Prof. Wen is the Editor-in-Chief of IEEE Transactions on Industrial Cyber-Physical Systems, a co-Editor-in-Chief of IEEE Transactions on Industrial Electronics (from July 2020), an Associate Editor of Automatica (from Feb 2006) and the Executive Editor-in-Chief of Journal of Control and Decision (from Jan 2013). He also served as an Associate Editor of IEEE Transactions on Automatic Control from Jan 2000 to Dec 2002, IEEE Transactions on Industrial Electronics (from May 2013 to Jan 2020) and IEEE Control Systems Magazine from 2009 to 2019, respectively. He has been actively involved in organizing international conferences playing the roles of General Chair, Technical Program Committee Chair, Program Committee Member, General Advisor, Publicity Chair and so on. He was the recipient of several awards, including the IES Prestigious Engineering Achievement Award from the Institution of Engineers, Singapore in 2005, Best Paper Award of IEEE Transactions on Industrial Electronics in 2017, Clarivate Analytics Highly Cited Researcher in the field of Engineering yearly from 2020 to 2025, Stanford/Elsevier Top 2% Scientist Worldwide yearly from 2021 to 2025.  His main research activities are in the areas of control systems with applications to cyber-physical systems, smart grids and so on.   

报告摘要：

A significant challenge of decentralized control is how to ensure global stability in large-scale interconnected systems by local controllers that employ only local information. Since earlier 1980s, decentralized adaptive control has motivated continued exploration and research of many researchers. However, in the presence of uncertainties and strong interactions, the proposed schemes in this area have generally been limited to achieving stability only over an infinite time horizon, with the elimination of steady-state errors posing a particular challenge. Decades of attempts to enhance the convergence rate of decentralized control schemes have made little progress. 

Recently, a methodology termed prescribed-time control has emerged, demonstrating advantages in achieving accelerated convergence and superior disturbance rejection. The core innovation lies in an unbounded time-varying feedback gain, which enables precise control without prior disturbance knowledge and, crucially, allows for a convergence time that is pre-assignable by the designer. Building on this principle, we recently achieved a key breakthrough: not only developed a decentralized prescribed-time control framework for strongly interconnected systems but also solved the long-standing problem of achieving precise control in such systems under disturbances. The details of the proposed approach and established results will be covered in this talk.