学术报告第201855期

报告题目：From System Identification to (Deep) Learning and Big Data

报告人：Lennart Ljung（院士）

报告时间：2018年9月10日 晚上7:30—8:30

报告地点：东九 B101

报告摘要：

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.

报告人简介：

Lennart Ljung was born in 1946 in Malmö, Sweden. He attended Lund University and earned a B.A. in Russian Language and Mathematics in 1967, a M.S. in Engineering Physics in 1970, and a Ph.D. in Automatic Control in 1974. Ljung served on the academic staff at the Lund Institute of Technology from 1968 until 1976 when he became Professor of Automatic Control at Linköping University in Sweden. He served as the head of the Control division and Chairman of the Department of Electrical Engineering at Linköping Institute of Technology and Director of the NUTEK/VINNOVA Competence Center ISIS, and is currently Director of the Strategic Research Center MOVIII. Ljung’s research focuses on model building, system identification and adaptation, resulting in numerous degrees and awards, several publications and articles, and extensive contributions to the field of Control Theory.