IMPLEMENTASI ENSEMBLE KALMAN FILTER PADA METODE RUNGE-KUTTA UNTUK PERBAIKAN SOLUSI NUMERIK PERSAMAAN DIFERENSIAL BIASA

  • Hery Andi Sitompul Universitas Darma Agung
  • Tambos A Sianturi Universitas HKBP Nommensen, Pematang Siantar

Abstract

Solving differential equations numerically means calculating the value of a function on a variable value using an estimation method or approach. The second order Runge-Kutta is one of a numerical method for solving ordinary differential equations. Each method of aproximation will always generate an error, where each method will generate a different error. Whereas the Ensemble Kalman Filter (EnKF) method or technique is a method that optimizes an estimate using assimilation of measurement data. This paper shows that the implementation of the EnKF technique in the second order Runge-Kutta method can correct errors quite well.

Published
Apr 23, 2021
How to Cite
SITOMPUL, Hery Andi; SIANTURI, Tambos A. IMPLEMENTASI ENSEMBLE KALMAN FILTER PADA METODE RUNGE-KUTTA UNTUK PERBAIKAN SOLUSI NUMERIK PERSAMAAN DIFERENSIAL BIASA. JURNAL TEKNOLOGI ENERGI UDA: JURNAL TEKNIK ELEKTRO, [S.l.], v. 9, n. 2, p. 123-131, apr. 2021. ISSN 2720-9784. Available at: <https://jurnal.darmaagung.ac.id/index.php/teknologienergi/article/view/963>. Date accessed: 15 june 2021.
Section
Articles