Adaptive Control Based on Recurrent Fuzzy Wavelet Neural Network and Its Application on Robotic Tracking Control

2006 ◽  
pp. 1166-1171 ◽  
Author(s):  
Wei Sun ◽  
Yaonan Wang ◽  
Xiaohua Zhai
Keyword(s):  
Neural Network ◽  
Adaptive Control ◽  
Tracking Control ◽  
Wavelet Neural Network ◽  
Robotic Tracking ◽  
Fuzzy Wavelet Neural Network

Study on Genetic Fuzzy Wavelet Neural Network Controller of Robotic Manipulator

2012 ◽  
Vol 605-607 ◽  
pp. 1619-1624
Author(s):  
Yong Lin Wang ◽  
Dong Yun Wang
Keyword(s):  
Neural Network ◽  
Numerical Simulation ◽  
Tracking Control ◽  
Controller Design ◽  
Robotic Manipulator ◽  
Wavelet Neural Network ◽  
Neural Network Controller ◽  
Network Controller ◽  
Tracking Controller ◽  
Fuzzy Wavelet Neural Network

This paper deals with the tracking controller design of robotic manipulator using genetic algorithm (GA). A genetic fuzzy wavelet neural network (GFWNN) controller is designed and implemented based on MATLAB in this paper, whose parameters are optimized by GA. The structure and algorithm of fuzzy wavelet neural network (FWNN) are described at first. Then the key content of GA used in this paper and the steps for using GA to optimize FWNN are demonstrated. Finally, a numerical simulation of tracking control for 2-link robotic manipulator is given to verify the effectiveness of the proposed method.

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