arXiv · 2503.05989
Learning about passivity from data
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.
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Alexandre Sanfelici Bazanella. 2025-03-07. Learning about passivity from data. https://arxiv.org/abs/2503.05989
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