Adaptive control of nonlinear dynamic system using fully tuned radial basis function neural networks : aircraft flight control applications

This thesis focuses on adaptive control of nonlinear dynamic systems using fully tuned RBF neural networks (RBFN), with an emphasis in aircraft flight control applications.

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Bibliographic Details
Main Author:	Li, Yan.
Other Authors:	Sundararajan, Narasimhan
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Online Access:	http://hdl.handle.net/10356/4772
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4772
record_format	dspace
spelling	sg-ntu-dr.10356-47722023-07-04T15:50:22Z Adaptive control of nonlinear dynamic system using fully tuned radial basis function neural networks : aircraft flight control applications Li, Yan. Sundararajan, Narasimhan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering This thesis focuses on adaptive control of nonlinear dynamic systems using fully tuned RBF neural networks (RBFN), with an emphasis in aircraft flight control applications. Doctor of Philosophy (EEE) 2008-09-17T09:58:12Z 2008-09-17T09:58:12Z 2001 2001 Thesis http://hdl.handle.net/10356/4772 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Li, Yan. Adaptive control of nonlinear dynamic system using fully tuned radial basis function neural networks : aircraft flight control applications
description	This thesis focuses on adaptive control of nonlinear dynamic systems using fully tuned RBF neural networks (RBFN), with an emphasis in aircraft flight control applications.
author2	Sundararajan, Narasimhan
author_facet	Sundararajan, Narasimhan Li, Yan.
format	Theses and Dissertations
author	Li, Yan.
author_sort	Li, Yan.
title	Adaptive control of nonlinear dynamic system using fully tuned radial basis function neural networks : aircraft flight control applications
title_short	Adaptive control of nonlinear dynamic system using fully tuned radial basis function neural networks : aircraft flight control applications
title_full	Adaptive control of nonlinear dynamic system using fully tuned radial basis function neural networks : aircraft flight control applications
title_fullStr	Adaptive control of nonlinear dynamic system using fully tuned radial basis function neural networks : aircraft flight control applications
title_full_unstemmed	Adaptive control of nonlinear dynamic system using fully tuned radial basis function neural networks : aircraft flight control applications
title_sort	adaptive control of nonlinear dynamic system using fully tuned radial basis function neural networks : aircraft flight control applications
publishDate	2008
url	http://hdl.handle.net/10356/4772
_version_	1772827870830264320

Adaptive control of nonlinear dynamic system using fully tuned radial basis function neural networks : aircraft flight control applications

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