Application of Magnetorheological Damper Semi-active Control based on Artificial Neural Networks

被引：0

作者：

Yue, De Kun ^{[1
]}

Wang, Qi ^{[2
]}

机构：

[1] Chengdu Electromech Coll, Huapaifang St, Chengdu, Sichuan, Peoples R China

[2] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu, Sichuan, Peoples R China

来源：

ACHIEVEMENTS IN ENGINEERING MATERIALS, ENERGY, MANAGEMENT AND CONTROL BASED ON INFORMATION TECHNOLOGY, PTS 1 AND 2 | 2011年 / 171-172卷

关键词：

Artificial neural networks; magnetorheological damper; semi-active control; system identification; Application;

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：

Uncertainty for the building structure and nonlinear, this simulation of a multi-storey structure under earthquake is presented based on the BP neural network and system identification, controller will be built to effectively reduce the structural response, and to strengthen the unique damper performance.

引用

页码：654 / +

页数：3