Robust Kalman filtering for wireless sensor networks systems with measurement delay

This brief is concerned with robust Kalman filtering for wireless sensor networks with delayed measurements, where packet-drop also occurs. The norm-bounded parameter uncertainties enter into both the system matrix and the input matrix of the state space model. The approach of re-organization of measurements is proposed to improve the efficiency of computation. A sufficient and necessary condition for the existence of a robust Kalman filter for wireless sensor networks system is derived.