Robustness analysis of a gradient indentification method for a nonlinear wiener system
The gradient identification of the linear filter part of a nonlinear Wiener system with unknown output non-linearity is investigated with respect to robustness in a deterministic sense. In order to estimate accurately the linear filter coefficients, an adaptive nonlinear filter is placed at the outp...
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Format: | Tagungsbericht |
Sprache: | eng |
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Zusammenfassung: | The gradient identification of the linear filter part of a nonlinear Wiener system with unknown output non-linearity is investigated with respect to robustness in a deterministic sense. In order to estimate accurately the linear filter coefficients, an adaptive nonlinear filter is placed at the output of the Wiener system which compensates the output non-linearity. Therefore, two adaptive algorithms work simultaneously. Local and global passivity relations are derived from which information on the robustness of the algorithm can be extracted |
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ISSN: | 2373-0803 2693-3551 |
DOI: | 10.1109/SSP.2005.1628573 |