%0 Conference Paper
%1 martin2022gaussian
%A Martin, Tim
%A Schön, Thomas B.
%A Allgöwer, Frank
%B 22nd IFAC World Congress
%D 2022
%K EXC2075 PN4
%R https://doi.org/10.48550/arXiv.2211.05639
%T Gaussian inference for data-driven state-feedback design of nonlinear systems
@inproceedings{martin2022gaussian,
added-at = {2022-11-11T09:29:05.000+0100},
author = {Martin, Tim and Schön, Thomas B. and Allgöwer, Frank},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2a7f2068ba671c4147898d3694dc1a6f2/simtech},
booktitle = {22nd IFAC World Congress },
doi = {https://doi.org/10.48550/arXiv.2211.05639},
interhash = {767b2a41ee4f509a30cc85818ee0853e},
intrahash = {a7f2068ba671c4147898d3694dc1a6f2},
keywords = {EXC2075 PN4},
timestamp = {2023-07-31T05:38:34.000+0200},
title = {Gaussian inference for data-driven state-feedback design of nonlinear systems},
year = 2022
}
