Abstract: 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.