DocumentCode :
577758
Title :
Data-based predictive control for networked control systems
Author :
Wang, Yan ; Ji, Zhicheng
Author_Institution :
Dept. of Electr. Autom., Univ. of Jiangnan, Wuxi, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
2302
Lastpage :
2305
Abstract :
As the network is introduced into the system, it will increase complexity of system dynamics and plant modeling, data-driven control theory is proposed to design the controller independent of the model in this paper. Construct the output data matrix and the input data matrix using input / output current data and historical data, establish a linear relationship between the two, thus get the predictive controller gains. Simulation results show that the proposed controller is effective.
Keywords :
control system synthesis; matrix algebra; networked control systems; predictive control; controller design; data-based predictive control; data-driven control theory; input data matrix; input output current data; input output historical data; networked control systems; output data matrix; plant modeling; predictive controller gains; system dynamics complexity; Adaptation models; Delay; Modeling; Networked control systems; Predictive control; Predictive models; data-based; delay; networked control system; predictive control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358258
Filename :
6358258
Link To Document :
بازگشت