Determination of LQR weights by Bayesian optimization method using multiple earthquake waves

An active structural-control strategy has been widely studied to improve the control performance. Most studies used the linear quadratic-regulator (LQR) method to design the state-feedback controller. The LQR method requires to tune many weights in the cost function to design the controller. Moreover, various earthquake waves have to be considered. Thus, it is difficult to determine the weights. This paper determines the weights by using the Bayesian optimization method with multiple earthquake waves to reduces the burden of tuning the weights.