DocumentCode :
3022996
Title :
Dynamic matrix control based on Elman neural network
Author :
Jing Bai ; Tiecheng Pu
Author_Institution :
Coll. of Electr. & Inf. Eng., Beihua Univ., Jilin, China
fYear :
2013
fDate :
20-22 Dec. 2013
Firstpage :
1083
Lastpage :
1086
Abstract :
Dynamic matrix control (for short DMC) algorithm is presented based on Elman neural network (for short ENN), because the ENN can character the dynamic nonlinear system. The basic idea is to predict the system further output by ENN, and to estimate the system dynamic matrix, and then to carry out the dynamic matrix control algorithm. The method can control the nonlinear dynamic system and break through the limitation of mathematical model. The simulation shows that the ENN has good prediction ability and the proposed method is effective.
Keywords :
neurocontrollers; nonlinear control systems; predictive control; DMC algorithm; ENN; Elman neural network; dynamic matrix control; dynamic nonlinear system; mathematical model; system dynamic matrix; Computers; Mechatronics; Dynamic matrix control; Elman neural network; dynamic nonlinear; identification; prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
Type :
conf
DOI :
10.1109/MEC.2013.6885223
Filename :
6885223
Link To Document :
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