On continuous-time sparse identification of nonlinear polynomial systems
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866918145588985856 |
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| author | Alamir, Mazen |
| author_facet | Alamir, Mazen |
| contents | This paper leverages recent advances in high derivatives reconstruction from noisy-time series and sparse multivariate polynomial identification in order to improve the process of parsimoniously identifying, from a small amount of data, unknown Single-Input/Single-Output nonlinear dynamics of relative degree up to 4. The methodology is illustrated on the Electronic Throttle Controlled automotive system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_17635 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | On continuous-time sparse identification of nonlinear polynomial systems Alamir, Mazen Systems and Control This paper leverages recent advances in high derivatives reconstruction from noisy-time series and sparse multivariate polynomial identification in order to improve the process of parsimoniously identifying, from a small amount of data, unknown Single-Input/Single-Output nonlinear dynamics of relative degree up to 4. The methodology is illustrated on the Electronic Throttle Controlled automotive system. |
| title | On continuous-time sparse identification of nonlinear polynomial systems |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2509.17635 |