INTELLIGENT ROBUST CONTROL METHODOLOGIES FOR MECHATRONIC AND ROBOTIC SYSTEMS
Ph.D
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Language: | English |
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2021
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Online Access: | https://scholarbank.nus.edu.sg/handle/10635/207618 |
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sg-nus-scholar.10635-2076182024-01-01T18:00:43Z INTELLIGENT ROBUST CONTROL METHODOLOGIES FOR MECHATRONIC AND ROBOTIC SYSTEMS WANG WENXIN ELECTRICAL & COMPUTER ENGINEERING Tong Heng Lee Intelligent Control System, Robust Control System, Optimal Control System, Precision Mechatronics Ph.D DOCTOR OF PHILOSOPHY (CDE-ENG) 2021-11-23T18:00:24Z 2021-11-23T18:00:24Z 2021-08-10 Thesis WANG WENXIN (2021-08-10). INTELLIGENT ROBUST CONTROL METHODOLOGIES FOR MECHATRONIC AND ROBOTIC SYSTEMS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/207618 0000-0002-8189-3124 en |
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National University of Singapore |
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NUS Library |
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Asia |
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Singapore Singapore |
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NUS Library |
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ScholarBank@NUS |
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English |
topic |
Intelligent Control System, Robust Control System, Optimal Control System, Precision Mechatronics |
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Intelligent Control System, Robust Control System, Optimal Control System, Precision Mechatronics WANG WENXIN INTELLIGENT ROBUST CONTROL METHODOLOGIES FOR MECHATRONIC AND ROBOTIC SYSTEMS |
description |
Ph.D |
author2 |
ELECTRICAL & COMPUTER ENGINEERING |
author_facet |
ELECTRICAL & COMPUTER ENGINEERING WANG WENXIN |
format |
Theses and Dissertations |
author |
WANG WENXIN |
author_sort |
WANG WENXIN |
title |
INTELLIGENT ROBUST CONTROL METHODOLOGIES FOR MECHATRONIC AND ROBOTIC SYSTEMS |
title_short |
INTELLIGENT ROBUST CONTROL METHODOLOGIES FOR MECHATRONIC AND ROBOTIC SYSTEMS |
title_full |
INTELLIGENT ROBUST CONTROL METHODOLOGIES FOR MECHATRONIC AND ROBOTIC SYSTEMS |
title_fullStr |
INTELLIGENT ROBUST CONTROL METHODOLOGIES FOR MECHATRONIC AND ROBOTIC SYSTEMS |
title_full_unstemmed |
INTELLIGENT ROBUST CONTROL METHODOLOGIES FOR MECHATRONIC AND ROBOTIC SYSTEMS |
title_sort |
intelligent robust control methodologies for mechatronic and robotic systems |
publishDate |
2021 |
url |
https://scholarbank.nus.edu.sg/handle/10635/207618 |
_version_ |
1787136324255350784 |