Semiactive Nonsmooth Control for Building Structure with Deep Learning

被引：24
|
作者：
Wang, Qing [1 ]
Wang, Jianhui [1 ]
Huang, Xiaofang [2 ]
Zhang, Li [3 ]
机构：
[1] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Guangdong, Peoples R China
[2] Guangzhou Univ, Engn Earthquake Resistance Ctr, Guangzhou 51045, Guangdong, Peoples R China
[3] Guangzhou Real Estate Management Vocat Sch, Guangzhou 510320, Guangdong, Peoples R China
来源：
COMPLEXITY | 2017年
关键词：
MODEL;
D O I：
10.1155/2017/6406179
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
Aiming at suppressing harmful effect for building structure by surface motion, semiactive nonsmooth control algorithm with Deep Learning is proposed. By finite-time stable theory, the building structure closed-loop system's stability is discussed under the proposed control algorithm. It is found that the building structure closed-loop system is stable. Then the proposed control algorithm is applied on controlling the building structural vibration. The seismic action is chosen as El Centro seismic wave. Dynamic characteristics have comparative analysis between semiactive nonsmooth control and passive control in two simulation examples. They demonstrate that the designed control algorithm has great robustness and anti-interference. The proposed control algorithm is more effective than passive control in suppressing structural vibration.
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页数：8
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