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The missing measurements appear in a random way which is governed by missing rates obeying a certain probability distribution.
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Only 25 days have missing measurements.
The missing measurements are considered the finite-time framework.
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].
If the phenomenon of missing measurements is not considered during the filter design, the actual missing measurements may deteriorate the designed filters.
Sensor saturations, missing measurements and channel fadings are governed by random variables obeying the Bernoulli distributions.
The systems under consideration are subjected to time delays, multiplicative noises and randomly occurring missing measurements.
The phenomena of ROQ and missing measurements are governed by a Bernoulli distributed stochastic sequence.
The phenomenon of missing measurements is described by a Bernoulli process.
The uncertainties of the systems include multiplicative noises, missing measurements, and uncertain noise variances.
The gap filling technique used to patch the missing measurements is also presented.
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