Stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for Gaussian inputs (Q2734300)
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scientific article; zbMATH DE number 1633934
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for Gaussian inputs |
scientific article; zbMATH DE number 1633934 |
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Stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for Gaussian inputs (English)
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5 February 2003
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adaptive identification
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saturation
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identification
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finite-memory Wiener-Hammerstein system
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adaptive gradient search algorithms
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The identification problem of the finite-memory Wiener-Hammerstein system with Gaussian inputs, Gaussian noise and saturation-type system nonlinearity is considered. Two adaptive gradient search algorithms are applied to identify, respectively, a scaled convolution of the input and output linear dynamics, and individual linear subsystems separately. The average behaviour of the algorithms is examined.
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