Final set adjustment using barrier function adaptation of signed-power controllers: an experimental study

Barrier function adaptation of signed-power-based controllers extends the theoretical abilities of the barrier function adaptation of sliding mode controllers so that the size of the positive invariant final set can be adjusted. This paper demonstrates that these theoretical results can be demonstrated in non-ideal settings by means of experiments in a Furuta pendulum. In particular, the ability to modify the achieved predefined ultimate bound and the advantages of bi-power-based controllers are experimentally verified. Furthermore, some insightful discussions and comparisons are presented which argue in favor of the practical benefits of barrier function adaptations of signed-power- and bi-power-based controllers.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/vss61690.2024.10753392
Primary Topic
Control Systems and Identification
Type
article
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article

Final set adjustment using barrier function adaptation of signed-power controllers: an experimental study

Leonid Fridman, Luis Ovalle, Andrés González
Control Systems and Identification
article

Final set adjustment using barrier function adaptation of signed-power controllers: an experimental study

Leonid Fridman, Luis Ovalle, Andrés González
article en

Abstract

Barrier function adaptation of signed-power-based controllers extends the theoretical abilities of the barrier function adaptation of sliding mode controllers so that the size of the positive invariant final set can be adjusted. This paper demonstrates that these theoretical results can be demonstrated in non-ideal settings by means of experiments in a Furuta pendulum. In particular, the ability to modify the achieved predefined ultimate bound and the advantages of bi-power-based controllers are experimentally verified. Furthermore, some insightful discussions and comparisons are presented which argue in favor of the practical benefits of barrier function adaptations of signed-power- and bi-power-based controllers.

Universidad Nacional Autónoma de México (MX)
Openalex Percentile: Top 75%
Control Systems and Identification
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