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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Bibliographic Details
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
Description
Summary: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.

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