In this paper, we propose the concept of accelerated convergence that has originally been developed to speed up the convergence of numerical methods for extremum seeking (ES) loops. We demonstrate how the dynamics of ES loops may be analyzed to extract structural information about the generated output of the loop. This information is then used to distil the limit of the loop without having to wait for the system to converge to it.
|Original language||English (US)|
|Title of host publication||2022 IEEE 61st Conference on Decision and Control (CDC)|
|Number of pages||7|
|State||Published - Jan 10 2023|
Bibliographical noteKAUST Repository Item: Exported on 2023-03-02
Acknowledgements: The authors gratefully acknowledge support by the German Academic Scholarship Foundation for organizing and funding the Wissenschaftliches Kolleg during which this project was started and the anonymous referees for their in-depth review. The forth and fifth author gratefully acknowledge funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No 824046.