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Reseach Article

Quantum Inspired GA based Neural Control of Inverted Pendulum

by D.k. Chaturvedi, Tanveer Qamar, O. P. Malik
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 23
Year of Publication: 2015
Authors: D.k. Chaturvedi, Tanveer Qamar, O. P. Malik
10.5120/21869-5210

D.k. Chaturvedi, Tanveer Qamar, O. P. Malik . Quantum Inspired GA based Neural Control of Inverted Pendulum. International Journal of Computer Applications. 122, 23 ( July 2015), 46-52. DOI=10.5120/21869-5210

@article{ 10.5120/21869-5210,
author = { D.k. Chaturvedi, Tanveer Qamar, O. P. Malik },
title = { Quantum Inspired GA based Neural Control of Inverted Pendulum },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 23 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 46-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number23/21869-5210/ },
doi = { 10.5120/21869-5210 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:11:22.619554+05:30
%A D.k. Chaturvedi
%A Tanveer Qamar
%A O. P. Malik
%T Quantum Inspired GA based Neural Control of Inverted Pendulum
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 23
%P 46-52
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper deals with comparison of artificial neural network and quantum inspired evolutionary neural network control of an inverted pendulum. First, a properly tuned PID controller was utilized to stabilize the inverted pendulum to generate the training data. Secondly, a feed-forward neural network was trained on the basis of these data. Thirdly, a quantum genetic algorithm optimized neural network was developed. If a disturbance occurs in the system, the controllers counteract this disturbance and balance inverted pendulum. All these three schemes are tested and compared. The results establish that the quantum genetic algorithm neural controller has the best control action.

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Index Terms

Computer Science
Information Sciences

Keywords

Quantum GA ANN Inverted Pendulum Control Adaptive Control Nonlinear system control Neural Control