Robust Weighted Fusion Kalman Estimators for Networked Multisensor Mixed Uncertain Systems With Random One-Step Sensor Delays, Uncertain-Variance Multiplicative, and Additive White Noises
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2019.2935163
Abstract: For networked multisensor systems with mixed uncertainties, including random one-step sensor delays, multiplicative noises and uncertain noise variances, a new augmented state approach with the fictitious noises is presented, by which the original system model… read more here.
Keywords: random one; sensor delays; sensor; step sensor ... See more keywords
Distributed Adaptive Tobit Kalman Filter for Networked Systems Under Sensor Delays and Censored Measurements
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2022.3174955
Abstract: The distributed adaptive Tobit Kalman filter (DATKF) is derived in this article for the discrete time networked system with multiple sensors under sensor delays and censored measurements. In the modified measurement model, the phenomena of… read more here.
Keywords: sensor delays; tobit kalman; adaptive tobit; censored measurements ... See more keywords
Robust Finite-Horizon Filtering for 2-D Systems With Randomly Varying Sensor Delays
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2017.2788503
Abstract: This paper is concerned with the robust finite-horizon filter design problem for a class of two-dimensional (2-D) time-varying systems with norm-bounded parameter uncertainties and incomplete measurements. The incomplete measurements cover randomly occurring sensor delays and… read more here.
Keywords: finite horizon; robust finite; sensor delays; filter ... See more keywords