Industrial robot performance simulation using a fuzzy logic/neural network controller

Industrial robot performance simulation using a fuzzy logic/neural network controller

The objectives of this thesis are to study the learning capability of the fuzzy/neural controller, to perform simulation of the proposed controller and to investigate the performance for an industrial robotic manipulator SCARA (Adept One). The contributions of the thesis are (1) interpretation of th...

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Main Author: Tin, Aung Win.
Other Authors: Leonard Chin
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Online Access:http://hdl.handle.net/10356/19667
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-19667
record_format dspace
spelling sg-ntu-dr.10356-196672023-07-04T15:23:17Z Industrial robot performance simulation using a fuzzy logic/neural network controller Tin, Aung Win. Leonard Chin School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering The objectives of this thesis are to study the learning capability of the fuzzy/neural controller, to perform simulation of the proposed controller and to investigate the performance for an industrial robotic manipulator SCARA (Adept One). The contributions of the thesis are (1) interpretation of the knowledge learnt by the fuzzy/neural controller, and (2) the effectiveness of the controller used in controlling a dynamic system (industrial robot SCARA). Master of Science (Computer Control and Automation) 2009-12-14T06:20:43Z 2009-12-14T06:20:43Z 1996 1996 Thesis http://hdl.handle.net/10356/19667 en NANYANG TECHNOLOGICAL UNIVERSITY 235 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
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Tin, Aung Win.
Industrial robot performance simulation using a fuzzy logic/neural network controller
description The objectives of this thesis are to study the learning capability of the fuzzy/neural controller, to perform simulation of the proposed controller and to investigate the performance for an industrial robotic manipulator SCARA (Adept One). The contributions of the thesis are (1) interpretation of the knowledge learnt by the fuzzy/neural controller, and (2) the effectiveness of the controller used in controlling a dynamic system (industrial robot SCARA).
author2 Leonard Chin
author_facet Leonard Chin
Tin, Aung Win.
format Theses and Dissertations
author Tin, Aung Win.
author_sort Tin, Aung Win.
title Industrial robot performance simulation using a fuzzy logic/neural network controller
title_short Industrial robot performance simulation using a fuzzy logic/neural network controller
title_full Industrial robot performance simulation using a fuzzy logic/neural network controller
title_fullStr Industrial robot performance simulation using a fuzzy logic/neural network controller
title_full_unstemmed Industrial robot performance simulation using a fuzzy logic/neural network controller
title_sort industrial robot performance simulation using a fuzzy logic/neural network controller
publishDate 2009
url http://hdl.handle.net/10356/19667
_version_ 1772828138880892928

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