Reset-Free Data-Driven Gain Estimation: Power Iteration using Reversed-Circulant Matrices
Optimization and Control
2023-11-22 v1
Abstract
A direct data-driven iterative algorithm is developed to accurately estimate the 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.
Cite
@article{arxiv.2311.12607,
title = {Reset-Free Data-Driven Gain Estimation: Power Iteration using Reversed-Circulant Matrices},
author = {Tom Oomen and Cristian R. Rojas},
journal= {arXiv preprint arXiv:2311.12607},
year = {2023}
}
Comments
7 pages, 4 figures