An efficient method for the numerical integration of measured variable dependent ordinary differential equations-Reference-Cited by-同舟云学术

An efficient method for the numerical integration of measured variable dependent ordinary differential equations

Published:2015-02 Issue: Volume:38 Page:24-33
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

de Azevedo C. Rodrigues,Peres J.,von Stosch M.

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference20 articles.

1. Numerical Methods with Matlab;Ashino,2009

2. Strategy for dynamic process modeling based on neural networks in macroscopic balances;van Can;AIChE J.,1996

3. Solving ODEs with MATLAB;Gladwell,2003

4. On testing a subroutine for the numerical integration of ordinary differential equations;Krogh,1973

5. Lapidus, L., Seinfeld, J.H., 1971. Numerical Solution of Ordinary Differential Equations. (Mathematics in Science and Engineering, vol. 74), New York, London

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fuzzy fractional generalized Bagley–Torvik equation with fuzzy Caputo gH-differentiability;Engineering Applications of Artificial Intelligence;2024-07

2. Perspectives on the integration between first-principles and data-driven modeling;Computers & Chemical Engineering;2022-10

3. Comparison of Modeling Methods for DoE‐Based Holistic Upstream Process Characterization;Biotechnology Journal;2020-02-17

4. Mathematical simulation of stability of steady-state conditions for a road train;IOP Conference Series: Materials Science and Engineering;2019-09-01