Accelerating Extremum Seeking Convergence by Richardson Extrapolation Methods

被引：0

作者：

Metsch, Jan-Henrik ^{[1
]}

Neuhauser, Jonathan ^{[2
]}

Jouffroy, Jerome ^{[3
]}

Laleg-Kirati, Taous-Meriem ^{[4
]}

Reger, Johann ^{[5
]}

机构：

[1] Univ Freiburg, Dept Math, Freiburg, Germany

[2] Karlsruhe Inst Technol, Inst Fluid Mech, Karlsruhe, Germany

[3] Univ Southern Denmark, Dept Mech & Elect Engn, Odense, Denmark

[4] King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal, Saudi Arabia

[5] Tech Univ Ilmenau, Control Engn Grp, POB 100565, D-98684 Ilmenau, Germany

来源：

2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC) | 2022年

关键词：

D O I：

10.1109/CDC51059.2022.9992618

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：253 / 259

页数：7

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