Mean-square stabilization for discrete-time networked control system with random delay

Author(s):  
Junhui Li ◽  
Weizhou Su
2011 ◽  
Vol 201-203 ◽  
pp. 2003-2006
Author(s):  
Shu De Li ◽  
Yi Chen ◽  
Cai Xia Liu

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.


2015 ◽  
Vol 42 ◽  
pp. 41-49 ◽  
Author(s):  
Soumya Dasgupta ◽  
Kaushik Halder ◽  
Shohan Banerjee ◽  
Amitava Gupta

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