Adaptive asymmetric fuzzy neural network controller design via network structuring adaptation

2008 ◽  
Vol 159 (20) ◽  
pp. 2627-2649 ◽  
Author(s):  
Chun-Fei Hsu ◽  
Ping-Zong Lin ◽  
Tsu-Tian Lee ◽  
Chi-Hsu Wang
2011 ◽  
Vol 110-116 ◽  
pp. 4076-4084
Author(s):  
Hai Cun Du

In this paper, we determine the fuzzy control strategy of inverter air conditioner, the fuzzy control model structure, the neural network and fuzzy control technology, structural design of the fuzzy neural network controller as well as the neural network predictor FNNC NNP. Simulation results show that the fuzzy neural network controller can control the accuracy greatly improved the compressor, and the control system has strong adaptability to achieve a truly intelligent; model of the controller design and implementation of technology are mainly from the practical point of view, which is practical and feasible.


Kybernetes ◽  
2009 ◽  
Vol 38 (10) ◽  
pp. 1709-1717 ◽  
Author(s):  
Zhihuai Xiao ◽  
Jiang Guo ◽  
Hongtao Zeng ◽  
Pan Zhou ◽  
Shuqing Wang

2013 ◽  
Vol 473 ◽  
pp. 243-246
Author(s):  
Guo Li ◽  
Cheng Yao Jia ◽  
Wen Zheng Zhang

In order to make a research on the vehicle`s ABS and AFS system,the fuzzy neural network controller was designed on the basis of the electric vehicle`s steering and braking models. Then the genetic algorithms was used to improve the parameters of the membership function. Finally, the Matlab/Simulink simulation software has been used in the simulation analysis. The result of simulation proves that the designed system has good tracking performance and more stronger systemic robustness .


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