scholarly journals Research on parallel nonlinear control system of PD and RBF neural network based on U model

Automatika ◽  
2020 ◽  
Vol 61 (2) ◽  
pp. 284-294
Author(s):  
Fengxia Xu ◽  
Deqiang Tang ◽  
Shanshan Wang
1996 ◽  
Vol 8 (4) ◽  
pp. 333-337 ◽  
Author(s):  
Takayuki Yamada ◽  
◽  
Norifumi Yasue ◽  
Takenori Morimitsu

This paper discusses a relationship between a controller for an unknown nonlinear plant and a self-organization capability which changes the structure of the controller. The controllers using both a neural network and a basis function have the potential to realize a nonlinear control system with self-organization capability because they can change their structure through the change of the number of neurons or basis functions.


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