Researches on Support Vector Machine Based Semi-Active Control of Structures

The present paper presents the support vector machine (SVM) based semi-active control algorithm with a view to general dampers for multistory structures under earthquakes. Firstly, the LQR controller for the numerical model of a multistory structure formulated using the dynamic dense method is obtained by use of 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 El-Centro wave, Hachinohe wave, Kobe wave, and Shanghai artificial wave, whose peak ground accelerations (PGA) are all scaled to 0.1 gal, 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.