Neural-network control of building structures

被引：0

作者：

Liut, DA ^{[1
]}

Matheu, EE ^{[1
]}

Singh, MP ^{[1
]}

Mook, DT ^{[1
]}

机构：

[1] Virginia Polytech Inst & State Univ, Dept Engn Sci & Mech, Blacksburg, VA 24061 USA

来源：

NINTH INTERNATIONAL CONFERENCE ON ADAPTIVE STRUCTURES AND TECHNOLOGIES | 1999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 focuses on the development of a neural-network-based approach for the control of seismic structural response. An efficient and expeditious training procedure, based on a force-matching approach, is implemented to train the neural network. The performance of the proposed control strategy is investigated using a simplified model of a multi-story building in which the control actions are applied by means of an active tuned mass damper. Numerical simulations are carried out to study the factors affecting the efficiency of the control system. The results show the remarkable performance of the proposed approach.

引用

页码：465 / 474

页数：10

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