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Reseach Article

A Neural Genetic Hybrid Model for Eigenstructure Allocation in the LQR Project in DFIG

by Ivanildo Abreu, Rildenir Silva, Luan Pereira
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 162 - Number 12
Year of Publication: 2017
Authors: Ivanildo Abreu, Rildenir Silva, Luan Pereira
10.5120/ijca2017913419

Ivanildo Abreu, Rildenir Silva, Luan Pereira . A Neural Genetic Hybrid Model for Eigenstructure Allocation in the LQR Project in DFIG. International Journal of Computer Applications. 162, 12 ( Mar 2017), 9-15. DOI=10.5120/ijca2017913419

@article{ 10.5120/ijca2017913419,
author = { Ivanildo Abreu, Rildenir Silva, Luan Pereira },
title = { A Neural Genetic Hybrid Model for Eigenstructure Allocation in the LQR Project in DFIG },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 162 },
number = { 12 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 9-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume162/number12/27294-2017913419/ },
doi = { 10.5120/ijca2017913419 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:08:50.134643+05:30
%A Ivanildo Abreu
%A Rildenir Silva
%A Luan Pereira
%T A Neural Genetic Hybrid Model for Eigenstructure Allocation in the LQR Project in DFIG
%J International Journal of Computer Applications
%@ 0975-8887
%V 162
%N 12
%P 9-15
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A hybrid neuronal genetic model is proposed with the objective of solving the Riccati Algebraic Equation (RAE) that is associated to the restricted optimization structure of the Linear Quadratic Regulator (LQR) problem. The application of this hybrid model of artificial intelligence will be performed in a wind power generation system, in particular, the double fed induction generator (DFIG). For this, a recurrent neural network with multiple layers is used where its performance is realized by metrics of the norm of infinity associated with RAE and energy surfaces as a function of the positive definite symmetric matrix and the Cholesky factor.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Networks (RNA) genetic algorithm (GA) DFIG LQR.