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

2016 ◽  
Author(s):  
Junhui Li ◽  
Weizhou Su
Keyword(s):  
Control System ◽  
Discrete Time ◽  
Networked Control System ◽  
Networked Control ◽  
Mean Square ◽  
Random Delay

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.

Stability of Networked Control System (NCS) with discrete time-driven PID controllers

2015 ◽  
Vol 42 ◽  
pp. 41-49 ◽  
Author(s):  
Soumya Dasgupta ◽  
Kaushik Halder ◽  
Shohan Banerjee ◽  
Amitava Gupta
Keyword(s):  
Control System ◽  
Discrete Time ◽  
Networked Control System ◽  
Networked Control ◽  
Pid Controllers
Sign in / Sign up

Export Citation Format

Share Document