Identification of Multivariable System Based on PID Neural Network

被引：0

作者：

Shu, Hua ^{[1
]}

Wang, Xiaogang ^{[1
]}

Huang, Zihang ^{[1
]}

机构：

[1] Guangzhou Univ, Inst Mech & Elect Engn, Guangzhou, Guangdong, Peoples R China

来源：

2015 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP) | 2015年

关键词：

identification; multivariable system; PID; neural network;

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：

System identification is the basis for control system design. For linear time-invariant systems have a variety of identification methods, identification methods for nonlinear dynamic system is still in the exploratory stage. Nonlinear identification method based on neural network is a simple and effective general method that does not require too much priori experience about the system to be identified. Through training and learning, the network weights are corrected to achieve the purpose of system identification. The paper is about the identification of multivariable nonlinear dynamic system based on PID neural network. The structure and algorithm of PID neural network are introduced and the properties and characteristics are analyzed. The system identification is completed and the results are fast convergence.

引用

页码：199 / 202

页数：4