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结构减震的稳定时滞LSSVM-LQR智能控制算法
针对时滞LSSVM-LQR智能控制算法存在的稳定性问题,提出相关的稳定性控制算法,以确保时滞LSSVM-LQR智能控制算法的鲁棒性。该算法的主要思路为:在时滞LSSVM-LQR控制算法中,加入控制力限制条件。当满足控制力限制条件时,控制程序继续运行;当不满足控制力限制条件时,控制程序自动跳出,便执行稳定性控制算法(或称为稳定/鲁棒的时滞LSSVM-LQR智能控制算法)。稳定性控制算法主要是通过调整反馈来控制作动器运行,从而确保控制系统的稳定性。数值结果表明,稳定性控制算法能够有效地保证时滞LSSVM-LQR智能控制算法的稳定性/鲁棒性;与时滞LSSVM-LQR智能控制算法相辅相成。
上海大学,土木工程系,上海 200072
Robust LSSVM-LQR based time-delay intelligent control algorithm for reducing seismic responses of structures
 Aiming at the stability problem of the LSSVM-LQR intelligent control algorithm for reducing seismic responses of structures, a stability controlling algorithm is proposed to ensure that the LSSVM-LQR intelligent control algorithm has good robustness. The main idea of this algorithm is that the limit condition of control forces is imposed on the LSSVM-LQR intelligent control algorithm. If the limit condition of control forces is fulfilled, the control procedure continues to run. However, if the limit condition of control forces is not fulfilled, the control procedure automatically jumps out and then, executes the stability control algorithm, referred also to as the stable/robust LSSVM-LQR intelligent control algorithm, which ensures the stability of the system mainly through controlling actuator operation with resorting to adjusting feedback. The numerical results show that the developed stability controlling algorithm can effectively guarantee the stability/robustness of LSSVM-LQR intelligent control algorithm. The time-delay LSSVM-LQR intelligent control algorithm and stability/robust time-delay LSSVM-LQR intelligent control algorithm add each other in action.
Department of Civil Engineering,Shanghai University,Shanghai 200072
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