| Zeit: | 7. Mai 2024 |
|---|---|
| Download als iCal: |
|
Prof. Cristian Rojas
Division of Decision and Control Systems
KTH Royal Institute of Technology
Stockholm, Sweden
Tuesday 2024-05-07 4 p.m.
IST Seminar Room 2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen
Abstract
The Two-Stage (TS) method is a computationally attractive approach to parameter estimation,
which only requires the availability of a parametric model capable of simulating samples. Based on
several values of the parameter to be estimated, and simulated samples for those values, TS can
construct an efficient estimator using state-of-the-art supervised learning tools such as deep
neural networks or gradient boosting.
In this talk, we will introduce the TS method from a statistical decision theory perspective
(leading to Bayes and minimax versions), extend it to data-driven control applications, and, if
time permits, discuss how to impose privacy constraints on this method.
Biographical Information
Cristian R. Rojas was born in 1980. He received the M.S. degree in electronics engineering from Universidad Técnica Federico Santa María, Valparaíso, Chile, in 2004, and the Ph.D. degree in electrical engineering at The University of Newcastle, NSW, Australia, in 2008. Since October 2008, he has been with the Royal Institute of Technology, Stockholm, Sweden, where he is currently Professor of Automatic Control at the School of Electrical Engineering and Computer Science. His research interests lie in system identification, signal processing and machine learning. Prof. Rojas is a Senior Member of IEEE, of the IEEE Technical Committee on System Identification and Adaptive Processing (since 2013), and of the IFAC Technical Committee TC1.1. on Modelling, Identification, and Signal Processing (since 2013). He has been Associate Editor for the IFAC journal Automatica and for the IEEE Control Systems Letters (L-CSS).