Identification of linear systems with hard input nonlinearities of known structure (Q1614306)
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scientific article; zbMATH DE number 1797062
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Identification of linear systems with hard input nonlinearities of known structure |
scientific article; zbMATH DE number 1797062 |
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Identification of linear systems with hard input nonlinearities of known structure (English)
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5 September 2002
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This paper studies identification of linear systems with input nonlinearities of known structure. For input nonlinearities parametrized by one parameter, a deterministic approach is proposed based on the idea of separable least squares. The identification problem becomes equivalent to a one-dimensional minimization problem. The method may be used for several common static and nonstatic input nonlinearities. For a general input nonlinearity, a correlation analysis based identification algorithm is presented which is shown to be convergent. Two examples are studied.
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system identification
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parameter estimation
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nonlinear systems
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Hammerstein systems
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input nonlinearities
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separable least squares
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correlation analysis
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