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控制理论与应用 2012
Admissible sampling frequency in measurements with variance-constrained and missing data
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Abstract:
We investigate the admissible sampling frequency in measurements with variance-constrained and missing data. The steady-state characteristic of error variance in the target tracking system with missing data is analyzed, and some properties are derived by using the linear matrix inequality (LMI) method. The results show that the sampling interval can be extended in practical engineering measurements with variance-constrained, so that the requirements on sampling frequency can be relaxed and the costs of measurement equipment can be reduced. A numerical example illustrates the validity of our conclusions.