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This paper studies the distributed fusion filtering problem for multi-sensor stochastic systems with unknown inputs and one-step random delays. By defining some new variables, the original system with unknown inputs and random delays is equivalently transformed into a stochastic parameterized system. The time-delay is depicted by a Bernoulli distributed random variable. No prior information about...
This paper is concerned with the distributed fusion filtering problem for linear discrete-time stochastic systems measured by multiple sensors with random sensor delays, packet dropouts and uncertain observations. By state augmentation, the original system with mixed uncertainties of sensor delays, packet dropouts and uncertain observations is converted to a stochastic parameterized system. Based...
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