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Descripción
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| We prove that through the analysis of the static, nonlinear system output to an exponential sweep excitation, it is possible to make an easy and informed estimation of memory-length and nonlinearity order parameters, prior to complete identification. The selection of these parameters has been a matter of discussion for many years since most identification techniques require early estimates of those. This work extends the results of previous contributions concerning a constrained set of memory- and order-fading nonlinear systems with diagonal kernels, onto the more general case of memory- and order-fading nonlinear systems that admit a Volterra series representation. A full mathematical formulation of the system output is provided, based on the input. Estimates on the parameters may be obtained by simple inspection on a single, filtered, output to the exponential sweep excitation. This happens to be a projection of the multidimensional, order kernels, as we prove. Examples are provided to evidence the simplicity and reliability of the proposed method. | |
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Internacional
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JCR del ISI
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Si |
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Título de la revista
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Multidimensional Systems And Signal Processing |
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ISSN
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0923-6082 |
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Factor de impacto JCR
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1,365 |
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Información de impacto
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Datos JCR del año 2016 |
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Volumen
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DOI
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10.1007/s11045-017-0535-3 |
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Número de revista
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Desde la página
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1 |
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33 |
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NOVIEMBRE |
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Ranking
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