scholarly journals Fuzzy PD Control of Networked Control Systems Based on CMAC Neural Network

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Li-lian Huang ◽  
Jin Chen

The network and plant can be regarded as a controlled time-varying system because of the random induced delay in the networked control systems. The cerebellar model articulation controller (CMAC) neural network and a PD controller are combined to achieve the forward feedback control. The PD controller parameters are adjusted adaptively by fuzzy reasoning mechanism, which can optimize the control effect by reducing the uncertainty caused by the network-induced delay. Finally, the simulations show that the control method proposed can improve the performance effectively.

2009 ◽  
Vol 42 (14) ◽  
pp. 61-65 ◽  
Author(s):  
Xu-Guang Li ◽  
Arben Cela ◽  
Silviu-Iulian Niculescu ◽  
Abdellatif Reama

Robotica ◽  
2004 ◽  
Vol 22 (6) ◽  
pp. 611-621 ◽  
Author(s):  
Yangmin Li ◽  
Sio Hong Leong

A method is proposed to solve the inverse kinematics and control problems of robot control systems using a cerebellar model articulation controller neural network combined with a genetic algorithm. Computer simulations and experiments with a 7-DOF redundant modular manipulator have demonstrated the effectiveness of the proposed method.


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