Neural fuzzy control for inverted pendulum
In this study, the state feedback controller is verified based on previous system identification result. Based on the input/output data collected from this state feedback control system, a fuzzy controller is designed. From this fuzzy controller, the training data is obtained and an adaptive neuron-...
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Format: | Thesis |
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2008
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Online Access: | http://hdl.handle.net/10356/3651 |
_version_ | 1811682668074500096 |
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author | Wang, Guangquan |
author2 | Ling, Keck Voon |
author_facet | Ling, Keck Voon Wang, Guangquan |
author_sort | Wang, Guangquan |
collection | NTU |
description | In this study, the state feedback controller is verified based on previous system identification result. Based on the input/output data collected from this state feedback control system, a fuzzy controller is designed. From this fuzzy controller, the training data is obtained and an adaptive neuron-fuzzy inference system (ANFIS) is designed. |
first_indexed | 2024-10-01T04:00:30Z |
format | Thesis |
id | ntu-10356/3651 |
institution | Nanyang Technological University |
last_indexed | 2024-10-01T04:00:30Z |
publishDate | 2008 |
record_format | dspace |
spelling | ntu-10356/36512023-07-04T15:06:15Z Neural fuzzy control for inverted pendulum Wang, Guangquan Ling, Keck Voon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering In this study, the state feedback controller is verified based on previous system identification result. Based on the input/output data collected from this state feedback control system, a fuzzy controller is designed. From this fuzzy controller, the training data is obtained and an adaptive neuron-fuzzy inference system (ANFIS) is designed. Master of Science (Computer Control and Automation) 2008-09-17T09:34:32Z 2008-09-17T09:34:32Z 2002 2002 Thesis http://hdl.handle.net/10356/3651 Nanyang Technological University application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Wang, Guangquan Neural fuzzy control for inverted pendulum |
title | Neural fuzzy control for inverted pendulum |
title_full | Neural fuzzy control for inverted pendulum |
title_fullStr | Neural fuzzy control for inverted pendulum |
title_full_unstemmed | Neural fuzzy control for inverted pendulum |
title_short | Neural fuzzy control for inverted pendulum |
title_sort | neural fuzzy control for inverted pendulum |
topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering |
url | http://hdl.handle.net/10356/3651 |
work_keys_str_mv | AT wangguangquan neuralfuzzycontrolforinvertedpendulum |