Learning about passivity from data

This paper presents a data-driven methodology to estimate the storage function of a passive system. The methodology consists in parametrizing the storage function with a dictionary then running a linear program. Results on a benchmark are presented to illustrate its properties, including its robustness to noise. Various uses of the storage function that do not require knowledge of a model are also discussed.

Publication Details

Journal
ArXiv.org
Published
2025-03-07
Primary Topic
Control and Stability of Dynamical Systems
Type
article
Field-Weighted Citation Impact
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article

Learning about passivity from data

ArXiv.org
Control and Stability of Dynamical Systems
article

Learning about passivity from data

article en

Abstract

This paper presents a data-driven methodology to estimate the storage function of a passive system. The methodology consists in parametrizing the storage function with a dictionary then running a linear program. Results on a benchmark are presented to illustrate its properties, including its robustness to noise. Various uses of the storage function that do not require knowledge of a model are also discussed.

ArXiv.org
Openalex Percentile: Top 46%
Control and Stability of Dynamical Systems
Open Access PDFOpenAlex
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Learning about passivity from data · ArXiv.org (2025) | TGRS Research Map | TGRS