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研究一类同时具有随机观测滞后和丢失的网络控制系统鲁棒H1滤波问题.网络建模采用新近同时描述随机一步时滞和数据包丢失的模型,基于Lyapunov理论和线性矩阵不等式技术设计系统的满阶滤波器,减小了状态增广带来的计算负担,同时引入松弛变量使Lyapunov矩阵和系统矩阵分离,降低结果的保守性,得到了使滤波误差系统在均方意义下鲁棒指数稳定并具有给定H1性能的一个LMI形式的充分条件.仿真结果验证了该方法有效性.
A class of robust H1 filtering problem for networked control systems with both lag and loss of stochastic observations is studied.Network modeling employs a new model that describes both stochastic one-step delays and packet loss and designs a system based on Lyapunov theory and linear matrix inequality The order filter reduces the computational load caused by state augmentation. At the same time, the relaxation variable is introduced to separate the Lyapunov matrix from the system matrix and reduce the conservativeness of the result. A robust exponential stability of the filtering error system Sufficient conditions for a LMI form with given H1 performance.The simulation results verify the effectiveness of this method.