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Least-squares linear estimators using measurements transmitted by different sensors with packet dropouts., , и . Digit. Signal Process., 22 (6): 1118-1125 (2012)Linear estimation from uncertain observations with white plus coloured noises using covariance information., , , и . Digit. Signal Process., 13 (3): 552-568 (2003)Distributed fusion filtering for multi-sensor systems with correlated random transition and measurement matrices., , и . Int. J. Comput. Math., 97 (1-2): 263-274 (2020)Two Compensation Strategies for Optimal Estimation in Sensor Networks with Random Matrices, Time-Correlated Noises, Deception Attacks and Packet Losses., , и . Sensors, 22 (21): 8505 (2022)Covariance-based fusion filtering for networked systems with random transmission delays and non-consecutive losses., , и . Int. J. General Systems, 46 (7): 752-771 (2017)Distributed estimation based on covariances under network-induced phenomena described by random measurement matrices., , и . Int. J. General Systems, 45 (5): 486-501 (2016)New distributed fusion filtering algorithm based on covariances over sensor networks with random packet dropouts., , и . Int. J. Systems Science, 48 (9): 1805-1817 (2017)Centralized, distributed and sequential fusion estimation from uncertain outputs with correlation between sensor noises and signal., , и . Int. J. General Systems, 48 (7): 713-737 (2019)Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements., , и . Appl. Math. Comput., (2014)Quadratic estimation for stochastic systems in the presence of random parameter matrices, time-correlated additive noise and deception attacks., и . J. Frankl. Inst., 360 (15): 11141-11164 (октября 2023)