System Identification Under Multi-rate Sensing Environment
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866917135581708288 |
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| author | Okajima, Hiroshi Furukawa, Risa Matsunaga, Nobutomo |
| author_facet | Okajima, Hiroshi Furukawa, Risa Matsunaga, Nobutomo |
| contents | This paper proposes a system identification algorithm for systems with multi-rate sensors in a discrete-time framework. It is challenging to obtain an accurate mathematical model when the ratios of inputs and outputs are different in the system. A cyclic reformulation-based model for multi-rate systems is formulated, and the multi-rate system can be reduced to a linear time-invariant system to derive the model under the multi-rate sensing environment. The proposed algorithm integrates a cyclic reformulation with a state coordinate transformation of the cycled system to enable precise identification of systems under the multi-rate sensing environment. The effectiveness of the proposed system identification method is demonstrated using numerical simulations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_12750 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | System Identification Under Multi-rate Sensing Environment Okajima, Hiroshi Furukawa, Risa Matsunaga, Nobutomo Systems and Control This paper proposes a system identification algorithm for systems with multi-rate sensors in a discrete-time framework. It is challenging to obtain an accurate mathematical model when the ratios of inputs and outputs are different in the system. A cyclic reformulation-based model for multi-rate systems is formulated, and the multi-rate system can be reduced to a linear time-invariant system to derive the model under the multi-rate sensing environment. The proposed algorithm integrates a cyclic reformulation with a state coordinate transformation of the cycled system to enable precise identification of systems under the multi-rate sensing environment. The effectiveness of the proposed system identification method is demonstrated using numerical simulations. |
| title | System Identification Under Multi-rate Sensing Environment |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2503.12750 |