Adaptive identification and control of nonlinear systems using generalized fuzzy neural network

This thesis proposes a superior adaptive fuzzy neural network identification and control scheme for MIMO nonlinear dynamic systems in general, with a view of dealing with high complexity, uncertainties and imprecision in this class of systems. In literature, fuzzy logic and neural networks have been...

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Bibliographic Details
Main Author:	Gao, Yang.
Other Authors:	Er, Meng Joo
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Online Access:	http://hdl.handle.net/10356/4276
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4276
record_format	dspace
spelling	sg-ntu-dr.10356-42762023-07-04T16:49:37Z Adaptive identification and control of nonlinear systems using generalized fuzzy neural network Gao, Yang. Er, Meng Joo School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation This thesis proposes a superior adaptive fuzzy neural network identification and control scheme for MIMO nonlinear dynamic systems in general, with a view of dealing with high complexity, uncertainties and imprecision in this class of systems. In literature, fuzzy logic and neural networks have been greatly adopted in modeling and control. Doctor of Philosophy (EEE) 2008-09-17T09:48:10Z 2008-09-17T09:48:10Z 2003 2003 Thesis http://hdl.handle.net/10356/4276 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
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Gao, Yang. Adaptive identification and control of nonlinear systems using generalized fuzzy neural network
description	This thesis proposes a superior adaptive fuzzy neural network identification and control scheme for MIMO nonlinear dynamic systems in general, with a view of dealing with high complexity, uncertainties and imprecision in this class of systems. In literature, fuzzy logic and neural networks have been greatly adopted in modeling and control.
author2	Er, Meng Joo
author_facet	Er, Meng Joo Gao, Yang.
format	Theses and Dissertations
author	Gao, Yang.
author_sort	Gao, Yang.
title	Adaptive identification and control of nonlinear systems using generalized fuzzy neural network
title_short	Adaptive identification and control of nonlinear systems using generalized fuzzy neural network
title_full	Adaptive identification and control of nonlinear systems using generalized fuzzy neural network
title_fullStr	Adaptive identification and control of nonlinear systems using generalized fuzzy neural network
title_full_unstemmed	Adaptive identification and control of nonlinear systems using generalized fuzzy neural network
title_sort	adaptive identification and control of nonlinear systems using generalized fuzzy neural network
publishDate	2008
url	http://hdl.handle.net/10356/4276
_version_	1772829130188914688

Adaptive identification and control of nonlinear systems using generalized fuzzy neural network

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