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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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/10356/19667 |
| _version_ | 1811695002577797120 |
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| author | Tin, Aung Win. |
| author2 | Leonard Chin |
| author_facet | Leonard Chin Tin, Aung Win. |
| author_sort | Tin, Aung Win. |
| collection | NTU |
| 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). |
| first_indexed | 2024-10-01T07:16:33Z |
| format | Thesis |
| id | ntu-10356/19667 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:16:33Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-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 |
| 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 |
| title | 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_short | Industrial robot performance simulation using a fuzzy logic/neural network controller |
| title_sort | industrial robot performance simulation using a fuzzy logic neural network controller |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering |
| url | http://hdl.handle.net/10356/19667 |
| work_keys_str_mv | AT tinaungwin industrialrobotperformancesimulationusingafuzzylogicneuralnetworkcontroller |