Internal Model Control using Artificial Neural Networks for Linear Minimum Phase Systems

被引：0
|
作者：
Mahmoud, Ines [1 ]
Saidi, Imen [1 ]
Bejaoui, Islem [1 ]
机构：
[1] Univ Tunis El Manar Tunis, Automat Res Lab, LARA, Natl Engn Sch Tunis, Tunis, Tunisia
来源：
PRZEGLAD ELEKTROTECHNICZNY | 2022年 / 98卷 / 02期
关键词：
internal model control; artificial neural networks; linear minimum phase systems; stability; DESIGN;
D O I：
10.15199/48.2022.02.09
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：
In this paper, we are interested in the internal model control using neural networks in the case of linear minimum phase systems. We propose, to use the neural internal model control to solve the inversion problem of a model M(z) in order to design the IMC controller. An example application is presented and the implementation of the proposed approach is discussed.
引用
收藏
页码：45 / 48
页数：4
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