ПРО СТРУКТУРНО-ПАРАМЕТРИЧНУ ІДЕНТИФІКАЦІЮ В УМОВАХ ОБМЕЖЕНОЇ НЕВИЗНАЧЕНОСТІ ТА АПРОКСИМУЮЧІ МОДЕЛІ БАГАТОВИМІРНИХ СИСТЕМ
The possibility of extending well known methods of stochastic identification, properly modified for the multivariable systems, which generate data, containing bounded uncertainty is studied. It is shown that in general case the only approximate truncated low order model may be correctly reconstructe...
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| Datum: | 2025 |
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| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
V.M. Glushkov Institute of Cybernetics of NAS of Ukraine
2025
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| Online Zugang: | https://jais.net.ua/index.php/files/article/view/567 |
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| Назва журналу: | Problems of Control and Informatics |
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Problems of Control and Informatics| Zusammenfassung: | The possibility of extending well known methods of stochastic identification, properly modified for the multivariable systems, which generate data, containing bounded uncertainty is studied. It is shown that in general case the only approximate truncated low order model may be correctly reconstructed. For systems with various structural properties and signal/noise ratio the connection of the truncated model parameters with dynamic characteristics of the real object is established. |
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