Dynamic fuzzy neural networks modeling and adaptive backstepping tracking control of uncertain chaotic systems

2010 ◽  
Vol 73 (16-18) ◽  
pp. 2873-2881 ◽  
Author(s):  
Da Lin ◽  
Xingyuan Wang ◽  
Fuzhong Nian ◽  
Yonglei Zhang
Keyword(s):  
Neural Networks ◽  
Tracking Control ◽  
Chaotic Systems ◽  
Fuzzy Neural Networks ◽  
Adaptive Backstepping ◽  
Fuzzy Neural ◽  
Uncertain Chaotic Systems

A Dynamic Fuzzy Neural Networks-Based Surface Vessels Course Tracking Controller

2014 ◽  
Vol 644-650 ◽  
pp. 122-127
Author(s):  
Yang Wang ◽  
Li Li Guo ◽  
Chen Guo
Keyword(s):  
Neural Networks ◽  
Tracking Control ◽  
Pid Controller ◽  
Fuzzy Neural Networks ◽  
Control Methods ◽  
Intelligent Algorithm ◽  
Surface Vessels ◽  
Tracking Controller ◽  
Fuzzy Neural ◽  
Simulation Results

A Dynamic Fuzzy Neural Networks Course Tracking Controller (DFNNCTC) for Surface Vessels is presented to solve the uncertainties coursing by the wide and wave. A Dynamic Fuzzy Neural Networks (DFNN) combines with a PID controller to integrate the DFNNCTC, in which the structure and parameters are adjusted online, and the fuzzy rules are automatically generated when being trained. The intelligent algorithm conquers the disadvantage of either overfitting or overtraining in traditional static fuzzy neural networks-based control methods. Simulation results of a container’s course tracking control validate the effectiveness of the proposed algorithm.

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