Cyclic Reformulation Based System Identification for Periodically Time-varying Systems
Systems and Control
2025-02-17 v1 Systems and Control
Abstract
This paper addresses a system identification for linear periodically time-varying plants in the discrete-time setting. A system identification algorithm for linear, periodically time-varying plants is introduced based on a cyclic reformulation and a state coordinate transformation of the cycled system. By using our system identification algorithm, the high-accuracy model of the periodically time-varying plant can be obtained without using specific periodic input signals. The effectiveness of the proposed algorithm is demonstrated with numerical examples.
Cite
@article{arxiv.2411.00318,
title = {Cyclic Reformulation Based System Identification for Periodically Time-varying Systems},
author = {Hiroshi Okajima and Yusuke Fujimoto and Hiroshi Oku and Haruto Kondo},
journal= {arXiv preprint arXiv:2411.00318},
year = {2025}
}