Dynamic Matrix Control Based on Elman Neural Network

被引：0
|
作者：
Bai, Jing [1 ]
Pu, Tiecheng [1 ]
机构：
[1] Beihua Univ, Coll Elect & Informat Engn, Jilin, Jilin, Peoples R China
来源：
PROCEEDINGS 2013 INTERNATIONAL CONFERENCE ON MECHATRONIC SCIENCES, ELECTRIC ENGINEERING AND COMPUTER (MEC) | 2013年
关键词：
Elm an neural network; Dynamic matrix control; identification; dynamic nonlinear; prediction;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：1083 / 1086
页数：4
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