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• W1570777767 abstract "This paper is concerned with the problem of H∞ filtering for continuous-time systems under sampled measurements with probabilistic sampling. It is assumed that the occurrence probabilities of the sampling intervals are given constants and satisfy a Bernoulli distribution. Through a transformation of the discrete time instants, the filtering error system is formulated as a continuous-time system with delays and stochastic parameters. Then, H∞ filter is designed such that the filtering error system is exponentially stable in the mean square, and the L2-induced gain from the noise signal to the estimation error is guaranteed to be less than a prescribed level. Finally, an example is given to show the effectiveness of the theoretical results." @default.
• W1570777767 created "2016-06-24" @default.
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• W1570777767 date "2010-04-01" @default.
• W1570777767 modified "2023-10-16" @default.
• W1570777767 title "filtering with stochastic sampling" @default.
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• W1570777767 doi "https://doi.org/10.1016/j.sigpro.2009.09.021" @default.
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