| Makale Türü |
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| Dergi Adı | Computers and Mathematics with Applications (Q1) | ||
| Dergi ISSN | 0898-1221 Dergi Bilgileri (2020) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 02-2020 |
| Cilt / Sayı / Sayfa | 79 / 4 / 982–995 | DOI | 10.1016/j.camwa.2019.08.009 |
| Makale Linki | http://dx.doi.org/10.1016/j.camwa.2019.08.009 | ||
| UAK Araştırma Alanları |
Uygulamalı Matematik
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| Özet |
| In this paper, we compare three model order reduction methods: the proper orthogonal decomposition (POD), discrete empirical interpolation method (DEIM) and dynamic mode decomposition (DMD) for the optimal control of the convective FitzHugh–Nagumo (FHN) equations. The convective FHN equations consist of the semi-linear activator and the linear inhibitor equations, modeling blood coagulation in moving excitable media. The semilinear activator equation leads to a non-convex optimal control problem (OCP). The most commonly used method in reduced optimal control is POD. We use DEIM and DMD to approximate efficiently the nonlinear terms in reduced order models. We compare the accuracy and computational times of three reduced-order optimal control solutions with the full order discontinuous Galerkin finite element solution of the convection dominated FHN equations with terminal controls … |
| Anahtar Kelimeler |
| Discontinuous Galerkin method | Discrete empirical interpolation | Dynamic mode decomposition | FitzHugh–Nagumo equation | Optimal control | Proper orthogonal decomposition |
| Atıf Sayıları | |
| Web of Science | 4 |
| Scopus | 4 |
| Google Scholar | 5 |
| Dergi Adı | COMPUTERS & MATHEMATICS WITH APPLICATIONS |
| Kısa Adı | COMPUT MATH APPL |
| Yayıncı | PERGAMON-ELSEVIER SCIENCE LTD |
| Açık Erişim | Hayır |
| ISSN | 0898-1221 |
| E-ISSN | 1873-7668 |
| Wos Quartile | Q1 |
| Scopus Quartile | Q1 |
| Tarandığı Indeksler | SCIE , Scopus |
| WoS Kategoriler | MATHEMATICS, APPLIED |
| Scopus Kategoriler | COMPUTATIONAL MATHEMATICS | COMPUTATIONAL THEORY AND MATHEMATICS | MODELING AND SIMULATION |