Adaptive Extremum Seeking Control via the RMSprop Optimizer

Fuente: arXiv
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Hauptverfasser: McNamee, Patrick, Ahmadabadi, Zahra Nili
Format: Preprint
Veröffentlicht: 2024
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author McNamee, Patrick
Ahmadabadi, Zahra Nili
author_facet McNamee, Patrick
Ahmadabadi, Zahra Nili
contents Extremum Seeking Control (ESC) is a well-known set of continuous time algorithms for model-free optimization of a cost function. One issue for ESCs is the convergence rates of parameters to extrema of unknown cost functions. The local convergence rate depends on the second, or sometimes higher, order derivatives of the unknown cost function. To mitigate this dependency, we propose the use of the RMSprop optimizer for ESCs as RMSprop is an adaptive gradient-based optimizer which attempts to have a normalized convergence rate in all parameters. Practical stability results are given for this RMSprop ESC (RMSpESC). In particular notability, the proof of practical stability uses Lyapunov function based on observed contracting, attractive sets. Versions of this Lyapunov function could be applied to other areas of applications, in particular for interconnected systems.
format Preprint
id arxiv_https___arxiv_org_abs_2409_12290
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Adaptive Extremum Seeking Control via the RMSprop Optimizer
McNamee, Patrick
Ahmadabadi, Zahra Nili
Optimization and Control
Systems and Control
Extremum Seeking Control (ESC) is a well-known set of continuous time algorithms for model-free optimization of a cost function. One issue for ESCs is the convergence rates of parameters to extrema of unknown cost functions. The local convergence rate depends on the second, or sometimes higher, order derivatives of the unknown cost function. To mitigate this dependency, we propose the use of the RMSprop optimizer for ESCs as RMSprop is an adaptive gradient-based optimizer which attempts to have a normalized convergence rate in all parameters. Practical stability results are given for this RMSprop ESC (RMSpESC). In particular notability, the proof of practical stability uses Lyapunov function based on observed contracting, attractive sets. Versions of this Lyapunov function could be applied to other areas of applications, in particular for interconnected systems.
title Adaptive Extremum Seeking Control via the RMSprop Optimizer
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2409.12290