A PID-like controller for nonlinear systems

被引：0

作者：

Wang, J ^{[1
]}

Gao, WZ ^{[1
]}

Wang, FL ^{[1
]}

机构：

[1] Northeastern Univ, SHENYANG 110006, PEOPLES R CHINA

来源：

PROCEEDINGS OF THE 1997 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 1997年

关键词：

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：

This paper presents an adaptive PID-like controller(PIDLC) using a modified Neural network(MNN) for learning the characteristics of a dynamic system. The PIDLC can adapt parameters' variation and uncertainty in the controlled plant through on-line learning. The MNN's learning algorithm is considerably faster because of the introduction of recursive least squares(RLS) algorithm. The simulation results show that this kind of control algorithm is very effective especially when there are variations in the plant dynamics.

引用

页码：1558 / 1562

页数：5

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