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Accelerating Extremum Seeking Convergence by Richardson Extrapolation Methods
Conference proceeding

Accelerating Extremum Seeking Convergence by Richardson Extrapolation Methods

Jan-Henrik Metsch, Jonathan Neuhauser, Jerome Jouffroy, Taous-Meriem Laleg-Kirati, Johann Reger and IEEE
2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), Vol.2022-, pp.253-259
IEEE Conference on Decision and Control
01/01/2022
DOI: https://doi.org/10.1109/CDC51059.2022.9992618

Abstract

Automation & Control Systems Engineering Engineering, Electrical & Electronic Science & Technology Technology
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.

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