Data-Driven Reduced Model Construction with Time-Domain Loewner Models
This work presents a data-driven nonintrusive model reduction approach for large-scale time-dependent systems with linear state dependence. Traditionally, model reduction is performed in an intrusive projection-based framework, where the operators of the full model are required either explicitly in...
| Главные авторы: | , , |
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| Другие авторы: | |
| Формат: | Статья |
| Опубликовано: |
Society for Industrial & Applied Mathematics (SIAM)
2018
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| Online-ссылка: | http://hdl.handle.net/1721.1/116613 https://orcid.org/0000-0002-5045-046X https://orcid.org/0000-0003-2156-9338 |