Receding horizon filtering for a class of discrete time-varying nonlinear systems with multiple missing measurements

Networked Strong Tracking Filtering with Multiple Packet Dropouts: Algorithms and Applications

(2013) Xiao He et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Quantised recursive filtering for a class of nonlinear systems with multiplicative noises and missing measurements

(2013) Jun Hu et al.   INTERNATIONAL JOURNAL OF CONTROL

Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements

(2012) Jun Hu et al.   AUTOMATICA

Distributed H∞-consensus filtering in sensor networks with multiple missing measurements: The finite-horizon case

(2010) Bo Shen et al.   AUTOMATICA

Stochastic Stability of the Extended Kalman Filter With Intermittent Observations

(2010) S. Kluge et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Variance-Constrained ${\cal H}_{\infty}$ Filtering for a Class of Nonlinear Time-Varying Systems With Multiple Missing Measurements: The Finite-Horizon Case

(2010) Hongli Dong et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Robust filtering with stochastic nonlinearities and multiple missing measurements

(2009) Guoliang Wei et al.   AUTOMATICA

An alternative FIR filter for state estimation in discrete-time systems

(2009) Pyung-Soo Kim   DIGITAL SIGNAL PROCESSING

Optimal Gains of FIR Estimators for a Class of Discrete-Time State-Space Models

(2008) Y.S. Shmaliy   IEEE SIGNAL PROCESSING LETTERS

Optimal horizons for a one-parameter family of unbiased FIR filters

(2007) Yuriy S. Shmaliy et al.   DIGITAL SIGNAL PROCESSING