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Support vector machine based semi‐active control of structures: a new control strategy
Author(s) -
Li Chunxiang,
Liu Qing
Publication year - 2011
Publication title -
the structural design of tall and special buildings
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.895
H-Index - 43
eISSN - 1541-7808
pISSN - 1541-7794
DOI - 10.1002/tal.557
Subject(s) - support vector machine , damper , control theory (sociology) , controller (irrigation) , linear quadratic regulator , engineering , reduction (mathematics) , optimal control , control (management) , control engineering , computer science , artificial intelligence , mathematical optimization , mathematics , agronomy , geometry , biology
Abstract The present paper presents the support vector machine (SVM)‐based semi‐active control algorithm used for designing general dampers for multistorey structures under earthquakes. First, the linear quadratic regulator (LQR) controller for the numerical model of a multistorey structure formulated using the dynamic dense method is obtained by using the classic LQR control theory. Then, a SVM model is designed and trained to emulate the performance of the LQR controller. Likewise, this SVM model comprises the observers and controllers of the control system. Finally, in accordance with the features of general semi‐active dampers, a SVM‐based semi‐active control strategy is put forward. More specifically, an online auto‐feedback semi‐active control strategy is developed and then realized by resorting to SVM. In order to numerically verify the control effectiveness of the present control strategy, the time history analysis has been implemented to a structure with general dampers designed by the SVM‐based semi‐active control algorithm. In numerical simulations, four seismic waves including the El Centro, Hachinohe and Kobe waves, as well as the Shanghai artificial wave, whose peak ground accelerations are all scaled to 0.1 g , are taken into consideration. Comparative results demonstrate that general semi‐active dampers designed using the SVM‐based semi‐active control algorithm is capable of providing higher level of response reduction. Copyright © 2009 John Wiley & Sons, Ltd.