Multivariable Extremum Seeking Control for Dynamic Maps through Sliding Modes and Periodic Switching Function

Fuente: arXiv
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Main Authors: Aminde, Nerito Oliveira, Oliveira, Tiago Roux, Hsu, Liu
Format: Preprint
Published: 2024
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author Aminde, Nerito Oliveira
Oliveira, Tiago Roux
Hsu, Liu
author_facet Aminde, Nerito Oliveira
Oliveira, Tiago Roux
Hsu, Liu
contents This paper presents the design of an extremum seeking controller based on sliding modes and cyclic search for real-time optimization of non-linear multivariable dynamic systems. These systems have arbitrary relative degree, compensated by the technique of time-scaling. The resulting approach guarantees global convergence of the system output to a small neighborhood of the optimum point. To corroborate with the theoretical results, numerical simulations are presented considering a system with two inputs and one output, which rapidly converges to the optimal parameters of the objective function.
format Preprint
id arxiv_https___arxiv_org_abs_2407_20805
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Multivariable Extremum Seeking Control for Dynamic Maps through Sliding Modes and Periodic Switching Function
Aminde, Nerito Oliveira
Oliveira, Tiago Roux
Hsu, Liu
Optimization and Control
Systems and Control
93B52, 93C40, 93D30
This paper presents the design of an extremum seeking controller based on sliding modes and cyclic search for real-time optimization of non-linear multivariable dynamic systems. These systems have arbitrary relative degree, compensated by the technique of time-scaling. The resulting approach guarantees global convergence of the system output to a small neighborhood of the optimum point. To corroborate with the theoretical results, numerical simulations are presented considering a system with two inputs and one output, which rapidly converges to the optimal parameters of the objective function.
title Multivariable Extremum Seeking Control for Dynamic Maps through Sliding Modes and Periodic Switching Function
topic Optimization and Control
Systems and Control
93B52, 93C40, 93D30
url https://arxiv.org/abs/2407.20805