Plenary Session

Wednesday July 3, 9:30–10:30

Speaker

Lennart Ljung
Professor of the Chair of Automatic Control
Dept. of Electrical Engineering, Linköping University,
Linköping, Sweden

Title

What can regularization offer for estimation of dynamical systems?

Abstract

Estimation of unknown dynamics is what system identification is about and a core problem in adaptive control and adaptive signal processing. It has long been known that regularization can be quite beneficial for general inverse problems of which system identification is an example. But only recently, partly under the influence of machine learning,  the use of well tuned regularization for estimating linear dynamical systems has been investigated more seriously. In this presentation we review these new results and discuss what they may mean for the theory and practice of dynamical model estimation in general.

Biography

Lennart Ljung was born in 1946 in Malmö, Sweden. and received his Ph.D. in 1974 in Automatic Control from Lund Institute of Technology. He has been Professor of the chair of Automatic Control in Linköping since 1976. He is also the director of the SSF Strategic Research Center MOVIII , and chairman of the strategic research area ELLIIT.