Data Science: From System Identification to (Deep) Learning and Big Data
Time: Tue 2019-12-17 11.00 - 12.00
Lecturer: Prof. Lennart Ljung, Linköping University
Bio: Lennart Ljung received his PhD in Automatic Control from Lund Institute of Technology in 1974. Since 1976 he is Professor of the chair of Automatic Control In Linkoping, Sweden. He has held visiting positions at Stanford and MIT and has written several books on System Identification and Estimation. He is an IEEE Fellow, an IFAC Fellow and an IFAC Advisor. He is as a member of the Royal Swedish Academy of Sciences (KVA), a member of the Royal Swedish Academy of Engineering Sciences (IVA), an Honorary Member of the Hungarian Academy of Engineering, an Honorary Professor of the Chinese Academy of Mathematics and Systems Science, and a Foreign Member of the US National Academy of Engineering (NAE). He has received honorary doctorates from the Baltic State Technical University in St Petersburg, from Uppsala University, Sweden, from the Technical University of Troyes, France, from the Catholic University of Leuven, Belgium and from Helsinki University of Technology, Finland. He has received both the Quazza Medal (2002) and the Nichols Medal (2017) from IFAC. In 2003 he received the Hendrik W. Bode Lecture Prize from the IEEE Control Systems Society, and he was the 2007 recipient of the IEEE Control Systems Award. In 2018 he received the Great Gold Medal from the Royal Swedish Academy of Engineering.
Abstract: Data science is a topic of great interest which has reached considerable current attention. It includes central research areas such as machine learning, deep learning and "big data”. Despite the extensive nomenclature and wide application areas associated with data science, it is stressed in this presentation that there are only a few central concepts. The use of data science to build mathematical model of dynamic systems - System Identification - is a useful template to illustrate and explain the basic concepts.