Semiactive Nonsmooth Control for Building Structure with Deep Learning. (6th November 2017)

• Record Type: Journal Article
• Authors: Wang, Qing; Wang, Jianhui; Huang, Xiaofang; Zhang, Li
• Other Names: Li Guang Academic Editor.
• Is Part Of: Complexity. Volume 2017(2017)
• Publication Date: 2017-11-06
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2017/6406179
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : 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.