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The missing measurements have been attracting a great number of attention due to the fact that the measurements are missing when sensors temporally fail [30 34].
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In this paper, the robust finite-time H ∞ filter design problem of discrete-time systems subject to missing measurements has been investigated.
Since the reliability of the system becomes more and more important, the filter and control design problem for systems subject to missing measurements has been a hot topic in recent years [31, 34, 36].
Only 25 days have missing measurements.
From the array data, we eliminated any features that had missing measurements for 3% or more samples.
A set of random variables satisfying certain probabilistic distributions is introduced to characterize the phenomenon of the missing measurements, where each sensor can have individual missing probability.
For multi-rate sensor fusion with missing measurements, an unknown input observer has been proposed in [99] to minimize the mean square error.
From December 2008 to February 2009, the Embassy air quality monitor had malfunctions, leading to missing measurements for this three-month period.
However, as mentioned by Kerlikowske et al., missing measurements resulted in limited statistical power and may have introduced bias [ 29].
The missing measurements are considered the finite-time framework.
Three subjects were missing measurements of SPMA.
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