Model Investigation of Nonlinear Dynamical Systems by Sparse Identification
| dc.contributor.author | Kadah, Nezir | |
| dc.contributor.author | Özbek, Necdet Sinan | |
| dc.date.accessioned | 2025-01-06T17:23:20Z | |
| dc.date.available | 2025-01-06T17:23:20Z | |
| dc.date.issued | 2020 | |
| dc.department | Adana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi | |
| dc.description.abstract | The sparse identification of nonlinear dynamics (SINDy), which is based on the sparse regression techniques to identify the nonlinear systems, is one of the recent data-driven model identification methods. The model equations of the system are extracted from the data. Although sufficient data is available from most of the engineering, healthcare, and economic sciences, there are few well-defined models to represent the system behaviour that can also be estimated from data-driven methods. With this motivation in mind, this study presents offline data-driven identification techniques to build the mathematical model of nonlinear systems. The data-based sparse identification of nonlinear systems is elaborated with a number of examples. The performance of the identification procedure is discussed in terms of quantitative metrics in the presence of noisy measurements. | |
| dc.identifier.doi | 10.31590/ejosat.822361 | |
| dc.identifier.endpage | 263 | |
| dc.identifier.issn | 2148-2683 | |
| dc.identifier.issue | Ejosat Özel Sayı 2020 (ISMSIT) | |
| dc.identifier.startpage | 254 | |
| dc.identifier.trdizinid | 485168 | |
| dc.identifier.uri | https://doi.org/10.31590/ejosat.822361 | |
| dc.identifier.uri | https://search.trdizin.gov.tr/tr/yayin/detay/485168 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14669/731 | |
| dc.identifier.volume | 0 | |
| dc.indekslendigikaynak | TR-Dizin | |
| dc.language.iso | en | |
| dc.relation.ispartof | Avrupa Bilim ve Teknoloji Dergisi | |
| dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_20241211 | |
| dc.subject | Bilgisayar Bilimleri | |
| dc.subject | Yazılım Mühendisliği | |
| dc.subject | Fizik | |
| dc.subject | Atomik ve Moleküler Kimya | |
| dc.subject | Bilgisayar Bilimleri | |
| dc.subject | Teori ve Metotlar | |
| dc.subject | İstatistik ve Olasılık | |
| dc.title | Model Investigation of Nonlinear Dynamical Systems by Sparse Identification | |
| dc.type | Article |
