Extremum Seeking with High-Order Lie Bracket Approximations: Achieving Exponential Decay Rate

Fuente: arXiv
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Autores principales: Grushkovskaya, Victoria, Eisa, Sameh A.
Formato: Preprint
Publicado: 2025
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author Grushkovskaya, Victoria
Eisa, Sameh A.
author_facet Grushkovskaya, Victoria
Eisa, Sameh A.
contents This paper focuses on the further development of the Lie bracket approximation approach for extremum seeking systems. Classical results in this area provide extremum seeking algorithms with exponential convergence rates for quadratic-like cost functions, and polynomial decay rates for cost functions of higher degrees. This paper proposes a novel control design approach that ensures the motion of the extremum seeking system along directions associated with higher-order Lie brackets, thereby ensuring exponential convergence for cost functions that are polynomial-like but with degree greater than two.
format Preprint
id arxiv_https___arxiv_org_abs_2504_01136
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Extremum Seeking with High-Order Lie Bracket Approximations: Achieving Exponential Decay Rate
Grushkovskaya, Victoria
Eisa, Sameh A.
Optimization and Control
Dynamical Systems
This paper focuses on the further development of the Lie bracket approximation approach for extremum seeking systems. Classical results in this area provide extremum seeking algorithms with exponential convergence rates for quadratic-like cost functions, and polynomial decay rates for cost functions of higher degrees. This paper proposes a novel control design approach that ensures the motion of the extremum seeking system along directions associated with higher-order Lie brackets, thereby ensuring exponential convergence for cost functions that are polynomial-like but with degree greater than two.
title Extremum Seeking with High-Order Lie Bracket Approximations: Achieving Exponential Decay Rate
topic Optimization and Control
Dynamical Systems
url https://arxiv.org/abs/2504.01136