Topic:
Linearity and Time-invariance of Linear Systems
Speaker:
Prof.Alessandro Astolfi(Imperial College London)
Editor-in-ChiefofIEEE Transactions on Automatic Control
Time:17:00- 18:00, Tuesday, 10th, November
How to join:
Offline:1066vip威尼斯宝山校区东区机自大楼604
Online: Tencent/Voov Meeting[ID：870 551 648]
Biography:
Prof. Alessandro Astolfi was born in Rome, Italy, in 1967. He received the graduation degree from the University of Rome, Italy, in 1991. He received the M.Sc. degree from the ETH-Zurich, Switzerland, in 1995, and the Ph.D. degree with Medal of Honor in 1995. In 1996, he received the Ph.D. degree from the University of Rome.Since 1996, he has been with Imperial College London, London, U.K., where he is currently a Professor. From 1998 to 2003, he was also an Associate Professor with the Politecnico of Milano. Since 2005, he has also been a Professor of University of Rome Tor Vergata, Rome, Italy. His research interests include mathematical control theory and control applications, with special emphasis for the problems of discontinuous stabilization, robust and adaptive control, observer design, and model reduction. He is the author of more than 150 journal papers, 30 book chapters, and over 240 papers in refereed conference proceedings. He is the author (with D. Karagiannis and R. Ortega) of the monograph Nonlinear and Adaptive Control with Applications (Springer-Verlag).,Dr. Astolfi is the recipient of the IEEE CSS A. Ruberti Young Researcher Prize (2007), the IEEE RAS Googol Best New Application Paper Award (2009), the IEEE CSS George S. Axelby Outstanding Paper Award (2012), and the Automatica Best Paper Award (2017). He is a Distinguished Member of the IEEE CSS, IET Fellow, IEEE Fellow, and IFAC Fellow. He served as Associate Editor for Automatica, Systems and Control Letters, IEEE Transactions on Automatic Control, International Journal of Control, European Journal of Control, and the Journal of the Franklin Institute; as Area Editor for the International Journal of Adaptive Control and Signal Processing; as Senior Editor for the IEEE Transactions on Automatic Control; and as Editor-in-Chief for the European Journal of Control. He is currently Editor-in-Chief of the IEEE Transactions on Automatic Control. He served as Chair of the IEEE CSS Conference Editorial Board (2010–2017) and in the IPC of several international conferences. He has been a Member of the IEEE Fellow Committee (2016, 2018/2019).
Abstract:
The study of linear systems theory without exploiting linearity and time-invariance may pose challenges, yet it is highly rewarding. In truth, linearity and time-invariance, albeit powerful, are a curse: they are not conducive to an abstract understanding of concepts, tools and ideas and may often be misleading. On the other hand, notions such as manifold invariance, interconnection, coordinates transformations, decomposition, and the principle of optimality facilitate the enhancement of linear, time-invariant, systems theory methods and tools to far more general classes of systems. We illustrate this perspective by providing abstract and geometric definitions for eigenvalues, poles, moments, Loewner operators and derivative, and persistence of excitation; and by solving interpolation problems, adaptive and robust control problems, and optimal control and game theory problems, for general classes of nonlinear systems.
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