Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/19667| Title: | Industrial robot performance simulation using a fuzzy logic/neural network controller | Authors: | Tin, Aung Win. | Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering | Issue Date: | 1996 | Abstract: | 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). | URI: | http://hdl.handle.net/10356/19667 | Schools: | School of Electrical and Electronic Engineering | Rights: | NANYANG TECHNOLOGICAL UNIVERSITY | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | EEE Theses |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| EEE_THESES_206.pdf Restricted Access | 18.85 MB | Adobe PDF | View/Open |
Page view(s) 50
528
Updated on May 7, 2025
Download(s)
7
Updated on May 7, 2025
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.