Closed-loop model set validation under a stochastic framework (Q1614413)
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scientific article; zbMATH DE number 1797128
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Closed-loop model set validation under a stochastic framework |
scientific article; zbMATH DE number 1797128 |
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Closed-loop model set validation under a stochastic framework (English)
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5 September 2002
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The authors assume that the dynamics of a multi-input multi-output plant are described by a model set with unstructured uncertainties. Further, identification experiments are performed in closed loop. A necessary and sufficient condition is provided for the consistency of the model set both with the stabilizing controller and with the closed-loop frequency domain experimental data. An analytic formula is given for the sample unfalsified probability of the model set, and a numerical example illustrates the theoretical results.
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model set validation
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MIMO system
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robust control
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unstructured uncertainty
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closed-loop identification
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unfalsified model
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falsification
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consistency
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unfalsified probability
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0.8543539
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0.8539835
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0.84685737
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0.84150654
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0.8390797
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