Neural fuzzy control for inverted pendulum

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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Main Author: Wang, Guangquan
Other Authors: Ling, Keck Voon
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Online Access:http://hdl.handle.net/10356/3651
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3651
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spelling sg-ntu-dr.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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Wang, Guangquan
Neural fuzzy control for inverted pendulum
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.
author2 Ling, Keck Voon
author_facet Ling, Keck Voon
Wang, Guangquan
format Theses and Dissertations
author Wang, Guangquan
author_sort Wang, Guangquan
title Neural fuzzy control for inverted pendulum
title_short 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_sort neural fuzzy control for inverted pendulum
publishDate 2008
url http://hdl.handle.net/10356/3651
_version_ 1772826163880656896

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