Semiactive Nonsmooth Control for Building Structure with Deep Learning
Joint Authors
Wang, Jianhui
Huang, Xiaofang
Zhang, Li
Wang, Qing
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Qing& Wang, Jianhui& Huang, Xiaofang& Zhang, Li. 2017. Semiactive Nonsmooth Control for Building Structure with Deep Learning. Complexity،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1143252
Modern Language Association (MLA)
Wang, Qing…[et al.]. Semiactive Nonsmooth Control for Building Structure with Deep Learning. Complexity No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1143252
American Medical Association (AMA)
Wang, Qing& Wang, Jianhui& Huang, Xiaofang& Zhang, Li. Semiactive Nonsmooth Control for Building Structure with Deep Learning. Complexity. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1143252
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143252