Application of generalized predictive control with neural network error correction in networked control system

2004 ◽  
Author(s):  
Aiguo Wu ◽  
Dongqing Wang ◽  
Jin Liang
Keyword(s):  
Neural Network ◽  
Control System ◽  
Error Correction ◽  
Predictive Control ◽  
Networked Control System ◽  
Networked Control ◽  
Generalized Predictive Control

scholarly journals Generalized Predictive Control in a Wireless Networked Control System

2013 ◽  
Vol 9 (12) ◽  
pp. 475730 ◽  
Author(s):  
Min-Fan Ricky Lee ◽  
Fu-Hsin Steven Chiu ◽  
Hsuan-Chiao Huang ◽  
Christian Ivancsits
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Networked Control System ◽  
Networked Control ◽  
Generalized Predictive Control ◽  
Wireless Networked Control System

Smith Predictor Based on Predicting Induced-Delay

2011 ◽  
Vol 201-203 ◽  
pp. 2003-2006
Author(s):  
Shu De Li ◽  
Yi Chen ◽  
Cai Xia Liu
Keyword(s):  
Neural Network ◽  
Communication Network ◽  
Control System ◽  
Bp Neural Network ◽  
Networked Control System ◽  
Smith Predictor ◽  
Networked Control ◽  
Object Model ◽  
Random Delay

Since communication network is introduced into control system, induced-delay appears. Because of the delay, the performance of networked control system becomes bad, even unsteady. Conventional Smith predictor is sensitive to error in object model and needs delay’s value in advance. Regarding random delay, its application is limited. In this paper, we propose a method based on induced-delay predicted by BP neural network, which use two historical delay values to predict the next one. Smith predictor adjusts its parameters according to that value in time. The simulating results indicate that the precision of delay-predicting can be ensured and the performance of networked control system has been improved.

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