Data Fusion in Nonlinear Systems

2001 ◽  
pp. 295-316
2014 ◽  
Vol 678 ◽  
pp. 406-409
Author(s):  
Xiao Rong Fu

An adaptive neuro-fuzzy controller of nonlinear systems is presented based on data fusion method. It reduces the input dimension of the controller using data fusion technique and simplifies the fuzzy controller’s design. The fuzzy controller was designed with self-learning of neural networks. The simulation results show that the performance of the system is superior to that using conventional fuzzy controller. It is rewarding for the research on combination of data fusion method and intelligent control technique of nonlinear systems.


1995 ◽  
Vol 6 (1) ◽  
pp. 227-236 ◽  
Author(s):  
X. E. Gros ◽  
P. Strachan ◽  
D. W. Lowden
Keyword(s):  

2004 ◽  
Author(s):  
Geoffrey B. Duggan ◽  
Simon Banbury ◽  
Andrew Howes ◽  
John Patrick ◽  
Samuel M. Waldron

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