针对随机事件驱动通信的网络化控制系统,研究其中的最优估计与状态反馈控制器的设计问题.首先,根据控制器与执行器/传感器的随机通信机制将系统建模为马尔可夫线性跳变系统;其次,利用时变卡尔曼滤波理论进行了系统状态估计,进而基于动态规划及马尔可夫跳变系统理论设计了满足二次型性能指标的最优控制器,实现了网络化系统的镇定控制;最后,通过仿真验证了所提出方法的正确性和有效性. For the networked control system driven by stochastic event, the optimal estimation and state feedback controller design problem is studied.Firstly, the system is modeled as Markov linear jump according to the stochastic communication mechanism between controller and actuator / sensor Secondly, using the time-varying Kalman filter theory, the system state estimation is carried out. Based on the dynamic programming and Markov transition system theory, an optimal controller satisfying the quadratic performance index is designed, and the networked system At last, the correctness and validity of the proposed method are verified by simulation.