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This paper presents a novel design method for Kalman filter based on fuzzy state estimation with online time-delay detector for industrial wireless networked control systems. Firstly, the description of T-S fuzzy model of industrial wireless networked control systems is given. Secondly, the distribution of network induced time-delay is detected by online detector, and the distribution probabilities of induced time-delay within different distribution are fingered out using probability method. Meanwhile, the T-S fuzzy model takes the distribution probabilities as membership functions. Then, the local filters with respect to all distribution are designed by applying method of Kalman filter, and a global agonic filter is developed by employing fuzzy fusing technique to all of local filters. Finally, the simulation on this design is carried out to verify its feasibility.
Control Conference, 2008. CCC 2008. 27th Chinese
Date of Conference: 16-18 July 2008