Adaptive Single Neuron PID Control with Fuzzy and Self-tuning in Networked Control Systems

被引：4

作者：

Yu, Haichen ^{[1
]}

Shao, Cheng ^{[1
]}

Zhou, Desheng ^{[1
]}

机构：

[1] Dalian Univ Technol, Sch Control Sci & Engn, Dalian, Peoples R China

来源：

ADVANCES IN COMPUTING, CONTROL AND INDUSTRIAL ENGINEERING | 2012年 / 235卷

关键词：

Networked Control Systems(NCSs); Single Neural PID; Fuzzy Control; Adaptive Control; DESIGN;

D O I：

10.4028/www.scientific.net/AMM.235.152

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As the varied time-delay caused by the network in NCSs, the analysis and design of NCSs become more difficult. In this paper, the single neuron PID control algorithm is modified by adjusting adaptively the scale factor and learning rate of the neuron with fuzzy rulers subject to NCSs. It is observed from the simulation that the proposed method has a well dynamic and adaptive performance.

引用

页码：152 / 157

页数：6

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