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Robust Neural NARX Controller Design using Evolution and Learning

Published on September 2014 by P S Bhati, Rajeev Gupta
journal_cover_thumbnail

Recent Advances in Wireless Communication and Artificial Intelligence
Foundation of Computer Science USA
RAWCAI - Number 1
September 2014
Authors: P S Bhati, Rajeev Gupta
2dbd716d-7f60-49a5-bc55-e0b790c438c4

P S Bhati, Rajeev Gupta . Robust Neural NARX Controller Design using Evolution and Learning. Recent Advances in Wireless Communication and Artificial Intelligence. RAWCAI, 1 (September 2014), 18-25.

@article{
author = { P S Bhati, Rajeev Gupta },
title = { Robust Neural NARX Controller Design using Evolution and Learning },
journal = { Recent Advances in Wireless Communication and Artificial Intelligence },
issue_date = { September 2014 },
volume = { RAWCAI },
number = { 1 },
month = { September },
year = { 2014 },
issn = 0975-8887,
pages = { 18-25 },
numpages = 8,
url = { /proceedings/rawcai/number1/17913-1409/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Recent Advances in Wireless Communication and Artificial Intelligence
%A P S Bhati
%A Rajeev Gupta
%T Robust Neural NARX Controller Design using Evolution and Learning
%J Recent Advances in Wireless Communication and Artificial Intelligence
%@ 0975-8887
%V RAWCAI
%N 1
%P 18-25
%D 2014
%I International Journal of Computer Applications
Abstract

A robust neural NARX controller design using evolution and learning is proposed in this paper. Parameters of neural NARX controller are encoded in individual member (chromosome) of GA population. Neural NARX controller learns stabilizing response at an operating point of plant as best fitness reaches large steady value during successive generations. Stable operating region of neural NARX controller is enlarged by incrementally allowing learn more operating points. Best neural NARX controller in last generation is saved as designed neural NARX controller. Proposed approach is validated on a cart pole nonlinear plant model. Optimal stabilizing response with designed neural NARX controller over wide range of operating points is obtained.

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Index Terms

Computer Science
Information Sciences

Keywords

Non-linear Auto Regressive With Exogenous Input (narx) Reinforcement (rf) Signal Performance Index (pi) Genetic Algorithms (gas).