DocumentCode :
354171
Title :
Modified DMC method and its realization based on BP neural networks
Author :
Wanliang, Wang ; Yanwei, Zhao ; Decai, Huang ; Qidi, Wu
Author_Institution :
Zhejiang Univ. of Technol., Hangzhou, China
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
847
Abstract :
Presents a modified dynamic matrix control (DMC) algorithm and its realization based on BP neural networks with higher nonlinear mapping and learning ability, predictive precision is increased and the control quality is improved by this control algorithm. In addition, the predictive control algorithm is extended to nonlinear systems. The results of simulation show that this algorithm is simple and applicable; its robustness is high; the transient and steady-state quality and the oscillation of the control variable are improved
Keywords :
backpropagation; neurocontrollers; nonlinear control systems; predictive control; robust control; sampled data systems; BP neural networks; control quality; learning ability; modified dynamic matrix control algorithm; nonlinear mapping; predictive precision; robustness; steady-state quality; transient quality; Automatic control; Electric variables control; Electrons; Gold; Modems; Neural networks; Nonlinear dynamical systems; Optimal control; Predictive control; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.863350
Filename :
863350
Link To Document :
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