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arXiv · 2411.00318

Cyclic Reformulation Based System Identification for Periodically Time-varying Systems

Hiroshi Okajima·Yusuke Fujimoto·Hiroshi Oku·Haruto Kondo
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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.

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Hiroshi Okajima, Yusuke Fujimoto, Hiroshi Oku, Haruto Kondo. 2024-11-01. Cyclic Reformulation Based System Identification for Periodically Time-varying Systems. https://doi.org/10.1109/access.2025.3537086

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