For a partially unknown linear systems, we present a systematic control design approach based on generated data from measurements of closed-loop experiments with suitable test controllers. These experiments are used to improve the achieved performance and to reduce the uncertainty about the unknown parts of the system. This is achieved through a parametrization of auspicious controllers with convex relaxation techniques from robust control, which guarantees that their implementation on the unknown plant is safe. This approach permits to systematically incorporate available prior knowledge about the system by employing the framework of linear fractional representations.
%0 Journal Article
%1 holicki2020controller
%A Holicki, T.
%A Scherer, C. W.
%A Trimpe, S.
%D 2021
%J IEEE Control Syst. Lett.
%K PN4-3 PN4 curated EXC2075
%N 2
%P 641 - 646
%R 10.1109/LCSYS.2020.3004506
%T Controller Design via Experimental Exploration with Robustness Guarantees
%U https://doi.org/10.1109/LCSYS.2020.3004506
%V 5
%X For a partially unknown linear systems, we present a systematic control design approach based on generated data from measurements of closed-loop experiments with suitable test controllers. These experiments are used to improve the achieved performance and to reduce the uncertainty about the unknown parts of the system. This is achieved through a parametrization of auspicious controllers with convex relaxation techniques from robust control, which guarantees that their implementation on the unknown plant is safe. This approach permits to systematically incorporate available prior knowledge about the system by employing the framework of linear fractional representations.
@article{holicki2020controller,
abstract = {For a partially unknown linear systems, we present a systematic control design approach based on generated data from measurements of closed-loop experiments with suitable test controllers. These experiments are used to improve the achieved performance and to reduce the uncertainty about the unknown parts of the system. This is achieved through a parametrization of auspicious controllers with convex relaxation techniques from robust control, which guarantees that their implementation on the unknown plant is safe. This approach permits to systematically incorporate available prior knowledge about the system by employing the framework of linear fractional representations.},
added-at = {2021-12-01T21:59:55.000+0100},
author = {Holicki, T. and Scherer, C. W. and Trimpe, S.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2a0956d4ac11706a4ecec229d8c867d86/simtech},
doi = {10.1109/LCSYS.2020.3004506},
interhash = {231b5cb503ddd047fc2d9d4dad88578c},
intrahash = {a0956d4ac11706a4ecec229d8c867d86},
journal = {IEEE Control Syst. Lett.},
keywords = {PN4-3 PN4 curated EXC2075},
number = 2,
pages = {641 - 646},
timestamp = {2024-03-12T10:23:37.000+0100},
title = {Controller Design via Experimental Exploration with Robustness Guarantees},
url = {https://doi.org/10.1109/LCSYS.2020.3004506},
volume = 5,
year = 2021
}
