Interval Type-2 Fuzzy Neural network Controller and Its Application in DC Motors
碩士 === 國立臺灣師範大學 === 工業教育學系 === 98 === In this thesis, an adaptive backstepping interval Type-2 fuzzy neural network (IT2FNN) controller is proposed for a class of nonlinear system. We designed the controllers for affine and nonaffine nonlinear systems, respectively. The IT2FNN identifier is the main...
Main Author: | 潘建宏 |
---|---|
Other Authors: | 洪欽銘 |
Format: | Others |
Language: | zh-TW |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/7926nu |
Similar Items
-
Ant Colony Optimization Algorithms Based on Interval Type-2 Fuzzy-Neural Networks and Its Application in DC Motor
by: Chao-Kuang Chen, et al.
Published: (2010) -
Genetic Algorithms Fuzzy-Neural Controller and Its Application in DC Servo Motors
by: Jian-You Lin, et al.
Published: (2009) -
The Application of Fuzzy Neural Network in Brushless DC Motor Control
by: Nguyen Thanh Nhan, et al.
Published: (2010) -
Speed Control Of Ultrasonic Motor Using Interval Type-2 Fuzzy Neural Network
by: Yu-Che Chan, et al.
Published: (2011) -
Genetic Design of an Interval Type-2 Fuzzy Controller for Velocity Regulation in a DC Motor
by: Yazmin Maldonado, et al.
Published: (2012-11-01)