Accelerating Extremum Seeking Convergence by Richardson Extrapolation Methods
Systems and Control
2022-12-15 v2 Systems and Control
Dynamical Systems
Optimization and Control
Abstract
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.
Keywords
Cite
@article{arxiv.2203.11696,
title = {Accelerating Extremum Seeking Convergence by Richardson Extrapolation Methods},
author = {Jan-Henrik Metsch and Jonathan Neuhauser and Jerome Jouffroy and Taous-Meriem Laleg-Kirati and Johann Reger},
journal= {arXiv preprint arXiv:2203.11696},
year = {2022}
}
Comments
24 pages, 8 Figures, Accepted to CDC22