Remote Controller Design of Networked Control Systems Based on Self-constructing Fuzzy Neural Network

2005 ◽  
pp. 143-149
Author(s):  
Yi Li ◽  
Qinke Peng ◽  
Baosheng Hu
Keyword(s):  
Neural Network ◽  
Control Systems ◽  
Fuzzy Neural Network ◽  
Controller Design ◽  
Networked Control Systems ◽  
Networked Control ◽  
Fuzzy Neural ◽  
Remote Controller

Application of Fuzzy Neural Network PID Controller in Networked Control Systems

2013 ◽  
Vol 273 ◽  
pp. 689-693
Author(s):  
Zi Yi Fu ◽  
Lu Wang ◽  
Lei Wang
Keyword(s):  
Neural Network ◽  
Control Systems ◽  
Pid Controller ◽  
Fuzzy Neural Network ◽  
Networked Control Systems ◽  
Control Object ◽  
Networked Control ◽  
Control Performance ◽  
Fuzzy Neural ◽  
Neural Network Pid

Aiming at the performance degradation and system destabilization which are caused by time delay in networked control systems (NCSs), a novel fuzzy neural network PID controller is proposed to alleviate the adverse effect. This approach enjoys the advantage of functional mapping of the fuzzy neural network, and gives better performance in tuning the PID controller parameters online. The simulation of the improved networked controller is carried out through the matlab/truetime, and the DC motor which has higher real-time performance is chosen as a control object. The simulation results illustrate that the controller can effectively improve the control performance and keep the system stable.

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