Two papers at IFAC World Congress 2023

News - 03 March 2023 - ELLIS Unit Delft

Members of the ELLIS Unit Delft, the Delft Center for Systems and Control, and the STAR Lab were successful at the IFAC World Congress 2023, one of the top venues in control. The first accepted paper is on an advanced form of robust optimisation with applications to self-learning systems; the second paper is on approximate Gaussian process regression using tensor networks. The two papers will be presented in Japan in July.

Li, Y.; Yorke-Smith, N.; and Keviczky, T.

Robust Optimal Control With Inexact State Measurements and Adjustable Uncertainty Sets.

Proceedings of the 22nd IFAC World Congress (IFAC'23), Yokohama, Japan, July 2023.

Clara Menzen, Eva Memmel, Kim Batselier and Manon Kok. Projecting basis functions with tensor networks for Gaussian process regression. Proceedings of the 22nd IFAC World Congress (IFAC’23), Yokohama, Japan,, July 2023.