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Open AI Webinar: Kernel-based approaches to linear system identification
In this webinar, we'll hear from Gianluigi Pillonetto, associate professor of control and dynamic systems at the University of Padova. He will give a talk on kernel-based approaches to linear system identification.

Abstract: Classical system identification relies on parametric estimation paradigms coming from mathematical statistics. Within this paradigm, a key point is the selection of the most adequate model structure which is typically performed via complexity measures such as the Akaike’s criterion. Considering the linear scenario this talk will describe how the model selection problem can be successfully faced by a different approach. In particular, I will discuss the use of Bayesian kernel-based methods where the unknown system is seen as a Gaussian process whose covariance (kernel) includes information on system stability and/or fading memory. Here, tuning of model complexity gets a whole new dimension and richness in the choice of (continuous) regularization parameters compared to the choice of (discrete) model orders.

About the speaker: Gianluigi Pillonetto has a Doctoral degree in Computer Science Engineering cum laude from the University of Padova in 1998 and a PhD degree in Bioengineering from the Polytechnic of Milan in 2002. He is currently an Associate Professor of Control and Dynamic Systems at the Department of Information Engineering, University of Padova.

His research interests are in the field of system identification, estimation and machine learning. From 2014 to 2016 he has been Associate Editor of Systems & Control Letters. He currently serves as Associate Editor for Automatica and IEEE Transactions on Automatic Control. In 2003 he received the Paolo Durst award for the best Italian Ph.D. thesis in Bioengineering. In 2017 he was awarded the Automatica Prize, assigned every three years for outstanding contributions to control theory by the International Federation of Automatic Control (IFAC) and Automatica (Elsevier), and he was Plenary Sp

Dec 4, 2020 01:00 PM in Oslo

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