Observer-based Differentiators for Noisy Signals
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914109005496320 |
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| author | Huynh, Van Trinh, Hieu Bain, Riley |
| author_facet | Huynh, Van Trinh, Hieu Bain, Riley |
| contents | We present a collection of different types of observation systems that work as differentiators. These observer-based differentiators can produce estimates for derivatives of a given signal, even though the given signal is prone to noise. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_20234 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Observer-based Differentiators for Noisy Signals Huynh, Van Trinh, Hieu Bain, Riley Systems and Control We present a collection of different types of observation systems that work as differentiators. These observer-based differentiators can produce estimates for derivatives of a given signal, even though the given signal is prone to noise. |
| title | Observer-based Differentiators for Noisy Signals |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2510.20234 |