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State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays.

, , and . Int. J. General Systems, 43 (3-4): 387-401 (2014)

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Distributed variance-constrained robust filtering with randomly occurring nonlinearities and missing measurements over sensor networks., , and . Neurocomputing, (2019)Multi-sensor information fusion filtering for delayed nonlinear stochastic singular systems with packet disorders., , , , and . J. Frankl. Inst., 361 (5): 106672 (2024)Linear optimal filtering for time-delay networked systems subject to missing measurements with individual occurrence probability., , , , and . Neurocomputing, (2016)State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays., , and . Int. J. General Systems, 43 (3-4): 387-401 (2014)A recursive approach to non-fragile filtering for networked systems with stochastic uncertainties and incomplete measurements., , , , and . J. Frankl. Inst., 352 (5): 1946-1962 (2015)Partial-Neurons-Based H∞ State Estimation for Time-Varying Neural Networks Subject to Randomly Occurring Time Delays under Variance Constraint., , , , and . Neural Process. Lett., 55 (6): 8285-8307 (December 2023)Finite-Time Stabilization of Multi-rate Networked Control System Based on Predictive Control., , , and . Circuits Syst. Signal Process., 41 (2): 661-683 (2022)Design of Simultaneous State and Unknown Input Filtering Algorithm for a Class of Nonlinear Stochastic Systems with Multiple Sensors., , , and . CCIS, page 638-642. IEEE, (2022)Optimal filtering for systems with finite-step autocorrelated process noises, random one-step sensor delay and missing measurements., , and . Commun. Nonlinear Sci. Numer. Simul., (2016)Outlier-resistant variance-constrained $H_$ state estimation for time-varying recurrent neural networks with randomly occurring deception attacks., , , , and . Neural Comput. Appl., 35 (18): 13261-13273 (June 2023)