A Brief History of Adaptation and learning | Prof. Alexander Fradkov (Institute for Problems of Mechanical Engineering of RAS and Saint Petersburg University)
סמינר זה יחשב כסמינר שמיעה לתלמידי תואר שני
(The talk will be given in English)
Speaker: Prof. Alexander Fradkov
Institute for Problems of Mechanical Engineering of RAS and Saint Petersburg University
011 hall, Electrical Engineering-Kitot Building
Wednesday, December 20th, 2023
11:00 - 12:00
|
|
A Brief History of Adaptation and learning
Abstract
Machine learning and artificial intelligence have attracted a lot of attention during recent years. They are applied to various new problems and it looks like they are based upon completely new ideas in the applied science. However, there exist strong links between machine learning and lassical adaptation methods which are much lesser known and almost not exploited nowadays.
In this talk a brief overview of the historical evolution of the machine learning field will be presented and its relations to adaptation, optimization and adaptive control will be discussed.
A number of little-known facts published in hard-to-reach sources are presented.
Short Bio
Alexander L. Fradkov received the Diploma degree in mathematics from Leningrad (currently St.Petersburg) State University in 1971, the Candidate of Sciences (Ph.D.) degree in technical cybernetics in 1975 from Leningrad Mechanical Institute, and the Doctor of Sciences (Habilitation) degree in control engineering in 1986 from Leningrad Electrotechnical University. He is currently the Head of the “Control of Complex Systems” Lab of the Institute for Problems in Mechanical Engineering of Russian Academy of Sciences and Professor of the Department of Theoretical Cybernetics at Saint Petersburg University.
Prof. Fradkov is the coauthor of more than 800 journal and conference papers, 18 books and textbooks, and a holder of ten patents. In his book "Cybernetical Physics" (Nauka, 2003; Springer-Verlag, 2007) an emerging boundary field between Physics and Control areas is pioneered. His research interests include nonlinear and adaptive and learning control, control of oscillatory and chaotic systems, dynamics and control of complex physical systems and networks. Prof. Fradkov was recipient of the best paper award from the Elsevier journal Annual Reviews of Control for 2020-2022. He is IEEE and IFAC.
השתתפות בסמינר תיתן קרדיט שמיעה = עפ"י רישום שם מלא + מספר ת.ז. בטופס הנוכחות שיועבר באולם במהלך הסמינר
