Robust integrated covariance intersection fusion Kalman estimators for networked systems with a unified measurement model including five uncertainties

The proposed new concept, approaches and results constitute a new methodology, a universal robust fusion Kalman filtering theory and a new filtering stability theory, which improve the robust accuracies of the original covariance intersection and fast CI(FCI) fusers and overcome their drawback to require known local estimators and their conservative variances.