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针对随机事件驱动的网络化控制系统,研究其中的有限时域和无限时域内最优控制器的设计问题.首先,根据执行器介质访问机制将网络化控制系统建模为具有多个状态的马尔科夫跳变系统;然后,基于动态规划和马尔科夫跳变线性系统理论设计满足二次型性能指标的最优控制序列,通过求解耦合黎卡提方程的镇定解,给出最优控制律的计算方法,使得网络化控制系统均方指数稳定;最后,通过仿真实验表明了所提出方法的有效性.
For the stochastic event-driven networked control system, the design problem of the optimal controller in the finite time domain and the infinite time domain is studied.First, according to the actuator medium access mechanism, the networked control system is modeled as a multi- Then, based on the dynamic programming and Markov transition linear system theory, an optimal control sequence satisfying the quadratic performance index is designed. The optimal control law is given by solving the stationary solution of the coupled Riccati equation. The mean square exponent of the networked control system is stable. Finally, the simulation results show the effectiveness of the proposed method.