为伪的推迟时间的反馈控制优化的策略有随机的刺激的线性系统被建议。首先,随机的平均方法被用来减少州的空格的尺寸并且导出系统的静止反应。第二,控制法律被假定是有时间延期的速度反馈控制,未知控制获得被表演索引决定。控制系统的反应通过解决与平均 Itô 方程联系的佛克板 Kolmogorov 方程被预言。最后,数字例子被用来说明建议控制方法,并且数字结果被蒙特卡罗模拟证实。
A strategy for time-delayed feedback control optimization of quasi linear systems with random excitation is proposed. First, the stochastic averaging method is used to reduce the dimension of the state space and to derive the stationary response of the system. Secondly, the control law is assumed to be velocity feedback control with time delay and the unknown control gains are determined by the performance indices. The response of the controlled system is predicted through solving the Fokker-Plank-Kolmogorov equation associated with the averaged Ito equation. Finally, numerical examples are used to illustrate the proposed control method, and the numerical results are confirmed by Monte Carlo simulation .