Semiactive Nonsmooth Control for Building Structure with Deep Learning
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 tha...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2017/6406179 |
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| _version_ | 1832563872138002432 |
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| author | Qing Wang Jianhui Wang Xiaofang Huang Li Zhang |
| author_facet | Qing Wang Jianhui Wang Xiaofang Huang Li Zhang |
| author_sort | Qing Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d85f29351aca4da692b15f0b50145db7 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-d85f29351aca4da692b15f0b50145db72025-02-03T01:12:24ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/64061796406179Semiactive Nonsmooth Control for Building Structure with Deep LearningQing Wang0Jianhui Wang1Xiaofang Huang2Li Zhang3School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, ChinaSchool of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, ChinaEngineering Earthquake Resistance Center, Guangzhou University, Guangzhou 51045, ChinaGuangzhou Real Estate Management Vocational School, Guangzhou 510320, ChinaAiming 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.http://dx.doi.org/10.1155/2017/6406179 |
| spellingShingle | Qing Wang Jianhui Wang Xiaofang Huang Li Zhang Semiactive Nonsmooth Control for Building Structure with Deep Learning Complexity |
| title | Semiactive Nonsmooth Control for Building Structure with Deep Learning |
| title_full | Semiactive Nonsmooth Control for Building Structure with Deep Learning |
| title_fullStr | Semiactive Nonsmooth Control for Building Structure with Deep Learning |
| title_full_unstemmed | Semiactive Nonsmooth Control for Building Structure with Deep Learning |
| title_short | Semiactive Nonsmooth Control for Building Structure with Deep Learning |
| title_sort | semiactive nonsmooth control for building structure with deep learning |
| url | http://dx.doi.org/10.1155/2017/6406179 |
| work_keys_str_mv | AT qingwang semiactivenonsmoothcontrolforbuildingstructurewithdeeplearning AT jianhuiwang semiactivenonsmoothcontrolforbuildingstructurewithdeeplearning AT xiaofanghuang semiactivenonsmoothcontrolforbuildingstructurewithdeeplearning AT lizhang semiactivenonsmoothcontrolforbuildingstructurewithdeeplearning |