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中文摘要：
针对基于T—S模糊模型的网络控制系统提出了一种卡尔曼滤波器的设计方法．先运用卡尔曼滤波理论给每个子系统设计出子滤波器，然后通过这些子滤波器的模糊融合得出全局滤波器．本文证明此全局滤波器可实现无偏状态估计，并给出了其稳定的条件．最后用仿真实例验证了所提出的卡尔曼滤波器的有效性．
英文摘要：
A novel method is presented to design fuzzy Kalman filters for the networked control systems based on T-S fuzzy models. Firstly, a local filter is designed for each subsystem by using Kalman filter theory, and then the global filter is derived by fuzzy blending of the local filters. The global filter is proved to be able to achieve unbiased state estimation, and a sufficient condition for the stability is presented. Finally, the effectiveness of the proposed fuzzy Kalman filter is demonstrated with a simulation example.
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