کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4640307 | 1341270 | 2010 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Model reduction for large-scale dynamical systems via equality constrained least squares
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Model reduction for large-scale dynamical systems via equality constrained least squares Model reduction for large-scale dynamical systems via equality constrained least squares](/preview/png/4640307.png)
چکیده انگلیسی
In this paper, we present a new method of model reduction for large-scale dynamical systems, which belongs to the SVD–Krylov based method category. It is a two-sided projection where one side reflects the Krylov part and the other side reflects the SVD (observability gramian) part. The reduced model matches the first r+ir+i Markov parameters of the full order model, and the remaining ones approximate in a least squares sense without being explicitly computed, where rr is the order of the reduced system, and ii is a nonnegative integer such that 1≤i
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational and Applied Mathematics - Volume 234, Issue 8, 15 August 2010, Pages 2420–2431
Journal: Journal of Computational and Applied Mathematics - Volume 234, Issue 8, 15 August 2010, Pages 2420–2431
نویسندگان
Yu’e An, Chuanqing Gu,