Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/110353
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorYin, C-
dc.creatorLu, JB-
dc.creatorXiang, CY-
dc.creatorLei, Y-
dc.date.accessioned2024-12-03T03:34:07Z-
dc.date.available2024-12-03T03:34:07Z-
dc.identifier.issn1545-2255-
dc.identifier.urihttp://hdl.handle.net/10397/110353-
dc.language.isoenen_US
dc.publisherJohn Wiley & Sonsen_US
dc.rightsCopyright © 2023 Chang Yin et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following publication Yin, Chang, Lu, Jubin, Xiang, Chunyan, Lei, Ying, Real-Time Integration of Identification and Semiactive Optimization Control for Mass Damper-Building Combined Systems under Known/Unknown Seismic Excitations, Structural Control and Health Monitoring, 2023, 6658364, 16 pages, 2023 is available at https://dx.doi.org/10.1155/2023/6658364.en_US
dc.titleReal-Time Integration of Identification and Semiactive Optimization Control for Mass Damper-Building Combined Systems under Known/Unknown Seismic Excitationsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume2023-
dc.identifier.doi10.1155/2023/6658364-
dcterms.abstractThe integration of structural identification and vibration optimal control has been studied. Since the semiactive optimization vibrational control of civil structures needs to be implemented by massive control devices such as mass dampers, it is necessary to investigate the real-time integration of identification and semiactive optimization vibration control for mass damper-building combined systems. However, there is a lack of such studies in the literature. In this paper, a methodology is presented for real-time integration of identification and semiactive optimization vibration control of the mass damper-building combined system under known/unknown seismic excitations. For the combined system under known seismic excitations, the identification is implemented by the extended Kalman filter (EKF) using only partial structural acceleration responses. The identified structural state and parameters of mass damper-building systems are integrated in real time for the optimal control of systems by the linear-quadratic regulator (LQR) control algorithm and the Hrovat semiactive optimization control strategy via semiactive optimization mass dampers (SAMD). Then, it is extended to the scenario of unknown seismic excitations. The partially measured structural acceleration responses are absolute ones in this case, so the generalized extended Kalman filter with unknown input (GEKF-UI) developed by the authors is used to identify the structural input-state parameters of the mass dampers-building combined systems. The identification results are also integrated in real time for the semiactive optimization control of the combined system via SAMD. Two numerical simulation examples are used to test the proposed integration methods. It is shown that the proposed integration methods can reach almost the same optimal control effects as the conventional semiactive optimization control with known parameters of the mass damper-building combined systems under known/unknown seismic excitations.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationStructural control and health monitoring, 2023, v. 2023, 6658364-
dcterms.isPartOfStructural control and health monitoring-
dcterms.issued2023-
dc.identifier.isiWOS:001129244700002-
dc.identifier.eissn1545-2263-
dc.identifier.artn6658364-
dc.description.validate202412 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextKey Program of the National Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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