The New Variable-period Sampling Scheme for Networked Control Systems with Random Time Delay Based on BP Neural Network Prediction

Author

Jiangang, Liu ; Biyu, Liu ; Ruifang, Zhang ; Meilan, Li

Author_Institution

Central South Univ., Changsha

fYear

2007

Firstpage

81

Lastpage

83

Abstract

This paper focus on the new variable-period sampling scheme for networked control systems with random time delay based on BP neural network prediction so as to alleviate the influence of the time delay on networked control systems. How to model, analyze and control networked control systems adopting BP neural network are specially presented in this passage. The time delay that can be predicted online using BP neural network tool is chosen as the sampling period. The key point is that the new generalized model that can be applied in the practical condition is strongly recommended.

Keywords

backpropagation; delays; distributed control; sampling methods; BP neural network; networked control systems; random time delay; variable-period sampling; Actuators; Automatic control; Communication system control; Computer networks; Control systems; Delay effects; Networked control systems; Neural networks; Sampling methods; Stability; BP neural network prediction; Networked control systems; Variable-period sampling;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2007. CCC 2007. Chinese

Conference_Location

Hunan

Print_ISBN

978-7-81124-055-9

Electronic_ISBN

978-7-900719-22-5

Type

conf

DOI

10.1109/CHICC.2006.4347048

Filename

4347048