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• W2765871715 abstract "In this paper, the particle filtering problem is investigated for a class of networked nonlinear systems with random one-step sensor delay and missing measurements. The phenomena of missing measurements and random one-step sensor delay are modeled by two random variables, both obeying the Bernoulli distribution. Here, we derive an explicit expression for the likelihood function when the possible occurrence of one-step sensor delay and measurement loss is taken into consideration. Based on this likelihood function, we propose a novel particle filtering algorithm to treat the nonlinear estimation problem in the simultaneous presence of random sensor delay and measurement loss. Finally, a simulation example is given to illustrate the feasibility and advantages of the proposed filtering scheme compared with traditional particle filtering algorithm." @default.
• W2765871715 created "2017-11-10" @default.
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• W2765871715 date "2018-01-01" @default.
• W2765871715 modified "2023-10-16" @default.
• W2765871715 title "Particle filtering for networked nonlinear systems subject to random one-step sensor delay and missing measurements" @default.
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• W2765871715 doi "https://doi.org/10.1016/j.neucom.2017.10.059" @default.
• W2765871715 hasPublicationYear "2018" @default.
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