Generation of representation models for complex systems using Lagrangian functions

Authors: F.J. Navarro-González, Y. Villacampa

Abstract:
In this article, a new methodology is presented to obtain representation models for a priori relation z = u(x1, x2,...,xn) (1), with a known an experimental dataset zi; x1 i ; x2 i ; x3 i ; ... ; xn i i¼1;2;...;p. In this methodology, a potential energy is initially defined over each possible model for the relationship (1), what allows the application of the Lagrangian mechanics to the derived system. The solution of the Euler–Lagrange in this system allows obtaining the optimal solution according to the minimal action principle. The defined Lagrangian, corresponds to a continuous medium, where a n-dimensional finite elements model has been applied, so it is possible to get a solution for the problem solving a compatible and determined linear symmetric equation system. The computational implementation of the methodology has resulted in an improvement in the process of get representation models obtained and published previously by the authors.

Keywords:
Modelling
Finite elements
Complex systems
Lagrangian
Minimal action
Representation model

Published in: Advances Engineering Software  (Volumes 64, Pages 1-74,  October 2013)

Publisher: Elsevier

ISSN Information: 0965-9978

Generation of representation models for complex systems using Lagrangian functions

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