Neuro-flight controllers for aircraft using minimal, radial basis function (RBF) neural networks

Neuro-flight controllers for aircraft using minimal, radial basis function (RBF) neural networks

This thesis presents the implementation of a newly developed minimal Radial Basis Function ( RBF ) neural network using the Minimal Resource Allocation Network ( M-RAN ) sequential learning algorithm for flight control system ap-plications. F-8 and F-16 fighter aircraft models are used in this thesi...

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Main Author: Chua, Nigel Boon Hong.
Other Authors: Sundararajan, Narasimhan
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
DRNTU::Engineering::Aeronautical engineering::Air navigation
Online Access:http://hdl.handle.net/10356/13113
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-13113
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spelling sg-ntu-dr.10356-131132023-07-04T15:49:39Z Neuro-flight controllers for aircraft using minimal, radial basis function (RBF) neural networks Chua, Nigel Boon Hong. Sundararajan, Narasimhan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering DRNTU::Engineering::Aeronautical engineering::Air navigation This thesis presents the implementation of a newly developed minimal Radial Basis Function ( RBF ) neural network using the Minimal Resource Allocation Network ( M-RAN ) sequential learning algorithm for flight control system ap-plications. F-8 and F-16 fighter aircraft models are used in this thesis for the neuro-flight control system application studies. Three flight control architectures using M-RAN have been developed in this study. Master of Engineering 2008-08-29T03:12:31Z 2008-10-20T07:14:21Z 2008-08-29T03:12:31Z 2008-10-20T07:14:21Z 1998 1998 Thesis http://hdl.handle.net/10356/13113 en 241 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
DRNTU::Engineering::Aeronautical engineering::Air navigation
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
DRNTU::Engineering::Aeronautical engineering::Air navigation
Chua, Nigel Boon Hong.
Neuro-flight controllers for aircraft using minimal, radial basis function (RBF) neural networks
description This thesis presents the implementation of a newly developed minimal Radial Basis Function ( RBF ) neural network using the Minimal Resource Allocation Network ( M-RAN ) sequential learning algorithm for flight control system ap-plications. F-8 and F-16 fighter aircraft models are used in this thesis for the neuro-flight control system application studies. Three flight control architectures using M-RAN have been developed in this study.
author2 Sundararajan, Narasimhan
author_facet Sundararajan, Narasimhan
Chua, Nigel Boon Hong.
format Theses and Dissertations
author Chua, Nigel Boon Hong.
author_sort Chua, Nigel Boon Hong.
title Neuro-flight controllers for aircraft using minimal, radial basis function (RBF) neural networks
title_short Neuro-flight controllers for aircraft using minimal, radial basis function (RBF) neural networks
title_full Neuro-flight controllers for aircraft using minimal, radial basis function (RBF) neural networks
title_fullStr Neuro-flight controllers for aircraft using minimal, radial basis function (RBF) neural networks
title_full_unstemmed Neuro-flight controllers for aircraft using minimal, radial basis function (RBF) neural networks
title_sort neuro-flight controllers for aircraft using minimal, radial basis function (rbf) neural networks
publishDate 2008
url http://hdl.handle.net/10356/13113
_version_ 1772828151605362688

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