The nature of data pre-filters in MPC relevant identification -- open- and closed-loop issues. (Q1400941)
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scientific article; zbMATH DE number 1965017
| Language | Label | Description | Also known as |
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| English | The nature of data pre-filters in MPC relevant identification -- open- and closed-loop issues. |
scientific article; zbMATH DE number 1965017 |
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The nature of data pre-filters in MPC relevant identification -- open- and closed-loop issues. (English)
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17 August 2003
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A model predictive control relevant identification (MRI) method is applied to a general class of linear PEM models and the effect of bias distribution on the multi-step-ahead predictions is studied. Good multi-step-ahead predictions are essential for model predictive controllers. Therefore, it is important to distribute the bias in such a way that it is compatible with the predictive control objective. This paper deals with the impact of MRI methods on the bias distribution and its effect on control loop performance.
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Identification
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Bias distribution
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model predictive control relevant identifications
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MRI
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