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arXiv · 2311.12607

Reset-Free Data-Driven Gain Estimation: Power Iteration using Reversed-Circulant Matrices

Tom Oomen·Cristian R. Rojas
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Abstract

A direct data-driven iterative algorithm is developed to accurately estimate the $H_\infty$ norm of a linear time-invariant system from continuous operation, i.e., without resetting the system. The main technical step involves a reversed-circulant matrix that can be evaluated in a model-free setting by performing experiments on the real system.

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Tom Oomen, Cristian R. Rojas. 2023-11-21. Reset-Free Data-Driven Gain Estimation: Power Iteration using Reversed-Circulant Matrices. https://arxiv.org/abs/2311.12607

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