Nonlinear System Identification Using Neural Network

被引：0

作者：

Arain, Muhammad Asif ^{[1
,2
]}

Ayala, Helon Vicente Hultmann ^{[1
,2
]}

Ansari, Muhammad Adil ^{[3
]}

机构：

[1] Univ Genoa, Genoa, Italy

[2] Warsaw Univ Technol, Warsaw, Poland

[3] Quaid Awam Univ Engn Sci & Technol, Nawabshah, Pakistan

来源：

EMERGING TRENDS AND APPLICATIONS IN INFORMATION COMMUNICATION TECHNOLOGIES | 2012年 / 281卷

关键词：

Nonlinear systems; System identification; Magneto-rheological damper; Neural Networks;

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：

Magneto-rheological damper is a nonlinear system. In this case study, system has been identified using Neural Network tool. Optimization between number of neurons in the hidden layer and number of epochs has been achieved and discussed by using multilayer perceptron Neural Network.

引用

页码：122 / +

页数：2