DocumentCode
2499260
Title
Variable-sampling networked control systems based on neural network prediction control
Author
Xue, Yan ; Liu, Ke
Author_Institution
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing
fYear
2008
fDate
25-27 June 2008
Firstpage
8128
Lastpage
8133
Abstract
By means of event-time driven based the model of networked control systems. Based on the controlling of the invariant networked-delay, using the predictive control value and the predictive feedback value according to the variable network-induced delay given the corresponding state transfer matrix of the networked control system, at the same time studied the condition of the stability of the networked control systems. The neural network is adopted to forecast the predictive control value and the predictive feedback value. Finally, an example is given to illustrate the analysis results.
Keywords
decentralised control; delays; neurocontrollers; predictive control; stability; event-time driven; invariant networked-delay; neural network prediction control; predictive control; stability; state transfer matrix; variable network-induced delay; variable-sampling networked control systems; Automation; Control systems; Delay effects; Intelligent control; Networked control systems; Neural networks; Neurofeedback; Predictive control; Predictive models; State feedback; event-time driven; networked control systems; neural network; variable-sampling;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4594200
Filename
4594200
Link To Document