Reduced order optimal control of the convective FitzHugh–Nagumo equations
Yazarlar (3)
Bülent Karasözen
Middle East Technical University (Metu), Türkiye
Prof. Dr. Murat UZUNCA Sinop Üniversitesi, Türkiye
Tuğba Küçükseyhan Balıkesir Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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
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
Science Direct
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 4
Scopus 4
Google Scholar 5
Reduced order optimal control of the convective FitzHugh–Nagumo equations

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