Internal model decoupling control based Diagonal Recurrent Neural Network

被引：0

作者：

Zhang, HY ^{[1
]}

Han, GJ ^{[1
]}

Pan, YX ^{[1
]}

机构：

[1] Xian Univ Technol, Dept Automat & Informat, Xian 710048, Peoples R China

来源：

DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES A-MATHEMATICAL ANALYSIS | 2006年 / 13卷

关键词：

Diagonal Recurrent Neural Network; nonlinear PID controller; internal model control; decoupling control; stability condition;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Aiming at the multivariant, nonlinear, time variation and strong coupling plant, a neural network decoupling control based on the internal model control was proposed, which has the advantages both the internal model control and the neural network decoupling control. Several nonlinear PID controller based on diagonal recurrent neural network are adopted in parallel as the neural network decoupling controller. Then the stability condition of the identifier and controller is presented based on the Lyapunov theory. Simulation example are given to show effectiveness of the proposed decoupling control.

引用

页码：280 / 287

页数：8

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