The detection of and compensation for nonlinear effects using periodic input signals
The identification of linear dynamics in the presence of nonlinear effects is discussed. The first step in such a process, the detection of the nonlinear relationship, is shown to be impossible using the conventional coherence function calculation in conjunction with a periodic excitation. Methodolo...
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Format: | Tagungsbericht |
Sprache: | eng |
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Zusammenfassung: | The identification of linear dynamics in the presence of nonlinear effects is discussed. The first step in such a process, the detection of the nonlinear relationship, is shown to be impossible using the conventional coherence function calculation in conjunction with a periodic excitation. Methodology and results are presented for estimating the parameters of structured nonlinear models which are of considerable engineering significance. |
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DOI: | 10.1049/cp:19940148 |