Modified likelihood Kalman filter for systems with incomplete, delayed and lost measurements

DOI10.1016/J.SYSCONLE.2018.08.001zbMath1408.93134OpenAlexW2889020265WikidataQ129336853 ScholiaQ129336853MaRDI QIDQ1729046

Ramin Esmzad, Reza Mahboobi Esfanjani

Publication date: 27 February 2019

Published in: Systems \& Control Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sysconle.2018.08.001

zbMATH Keywords

incomplete informationlikelihood functiondata dropouttransmission delayBayesian filter

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)

Cites Work

• Modeling and estimation for networked systems with multiple random transmission delays and packet losses
• Linear estimation for random delay systems
• Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements
• Adaptive Kalman Filtering in Networked Systems With Random Sensor Delays, Multiple Packet Dropouts and Missing Measurements
• The Gaussian Mixture Probability Hypothesis Density Filter
• Optimal Linear Estimators for Systems With Finite-Step Correlated Noises and Packet Dropout Compensations
• Optimal linear estimators for systems with multiple random measurement delays and packet dropouts
• Optimal Linear Filters for Discrete-Time Systems With Randomly Delayed and Lost Measurements With/Without Time Stamps

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