Output prediction under scarce data operation: Control applications (Q1805980)
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scientific article; zbMATH DE number 1356087
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Output prediction under scarce data operation: Control applications |
scientific article; zbMATH DE number 1356087 |
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Output prediction under scarce data operation: Control applications (English)
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24 April 2000
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The paper deals with the estimation of outputs of a process from scarcely sampled measurements or a missing data sampling pattern, assuming that the process model is known. A wide range of methods to predict estimations of unmeasured outputs in missing-data situations are studied. The main result is the presentation of an algorithm that uses the difference equation of the process, replacing the unknown past values with estimates when necessary.
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output estimation
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state estimation
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parameter estimation
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missing data
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unconventional sampling
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0.9744201
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0.86359155
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0.8547002
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0.84992254
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0.84635097
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0.8402829
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0.8399106
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0.8385651
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