Predictive PID control based on local recurrent network

被引：0

作者：

Tong Zhe-qiong ^{[1
]}

Zhang Zhi-jun ^{[1
]}

Yin Feng ^{[1
]}

机构：

[1] Dalian Univ Technol, Sch Elect & Informat Engn, Dalian 116023, Peoples R China

来源：

Proceedings of 2006 Chinese Control and Decision Conference | 2006年

关键词：

predictive control; recurrent network control; PID control; nonlinear system;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

It proposes a multi-step predictive PID algorithms based on local recurrent network to bring PID control to predictive control blase on neural network. Nonlinear controller designed with the well-robustness PID-type predictive cost function, and a composite neural network structured to nonlinear system's identification. Simulation result shows that the system has well predictive effect by using recurrent network control and PID control.

引用

页码：185 / 188

页数：4

共 9 条

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