Efficient sequential fuzzy-neural algorithms for aircraft fault-tolerant control

This thesis focuses on the development of two efficient sequential fuzzy neural algorithms. The first algorithm is named as Sequential Adaptive Fuzzy Inference System where the number of fuzzy rules is determined automatically according to the learning procedure and the parameters in the existing fu...

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主要作者:	Rong, Haijun
其他作者:	Narasimhan Sundararajan
格式:	Theses and Dissertations
出版:	2008
主題:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering DRNTU::Engineering::Aeronautical engineering::Air navigation
在線閱讀:	https://hdl.handle.net/10356/3507
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University

id	sg-ntu-dr.10356-3507
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spelling	sg-ntu-dr.10356-35072023-07-04T17:33:32Z Efficient sequential fuzzy-neural algorithms for aircraft fault-tolerant control Rong, Haijun Narasimhan Sundararajan 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 focuses on the development of two efficient sequential fuzzy neural algorithms. The first algorithm is named as Sequential Adaptive Fuzzy Inference System where the number of fuzzy rules is determined automatically according to the learning procedure and the parameters in the existing fuzzy rules are modified. The second algorithm is called as On-line, Sequential, Fuzzy Extreme Learning Machine where the parameters for the fuzzy rules are updated at an extremely high speed. Besides based on the two new fuzzy neural algorithms, two adaptive, fault-tolerant, fuzzy control strategies are developed in this thesis for a high performance fighter automatic landing problem under the failures of stuck control surfaces and severe winds. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:31:12Z 2008-09-17T09:31:12Z 2007 2007 Thesis Rong, H. (2007).Efficient sequential fuzzy-neural algorithms for aircraft fault-tolerant control. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/3507 10.32657/10356/3507 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 DRNTU::Engineering::Aeronautical engineering::Air navigation
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering DRNTU::Engineering::Aeronautical engineering::Air navigation Rong, Haijun Efficient sequential fuzzy-neural algorithms for aircraft fault-tolerant control
description	This thesis focuses on the development of two efficient sequential fuzzy neural algorithms. The first algorithm is named as Sequential Adaptive Fuzzy Inference System where the number of fuzzy rules is determined automatically according to the learning procedure and the parameters in the existing fuzzy rules are modified. The second algorithm is called as On-line, Sequential, Fuzzy Extreme Learning Machine where the parameters for the fuzzy rules are updated at an extremely high speed. Besides based on the two new fuzzy neural algorithms, two adaptive, fault-tolerant, fuzzy control strategies are developed in this thesis for a high performance fighter automatic landing problem under the failures of stuck control surfaces and severe winds.
author2	Narasimhan Sundararajan
author_facet	Narasimhan Sundararajan Rong, Haijun
format	Theses and Dissertations
author	Rong, Haijun
author_sort	Rong, Haijun
title	Efficient sequential fuzzy-neural algorithms for aircraft fault-tolerant control
title_short	Efficient sequential fuzzy-neural algorithms for aircraft fault-tolerant control
title_full	Efficient sequential fuzzy-neural algorithms for aircraft fault-tolerant control
title_fullStr	Efficient sequential fuzzy-neural algorithms for aircraft fault-tolerant control
title_full_unstemmed	Efficient sequential fuzzy-neural algorithms for aircraft fault-tolerant control
title_sort	efficient sequential fuzzy-neural algorithms for aircraft fault-tolerant control
publishDate	2008
url	https://hdl.handle.net/10356/3507
_version_	1772825848183783424

Efficient sequential fuzzy-neural algorithms for aircraft fault-tolerant control

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