Título:
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Nonlinear inverse dynamic models of gas sensing systems based on chemical sensor arrays for quantitative measurements
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Autor/a:
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Pardo Martínez, Antonio; Marco Colás, Santiago; Samitier i Martí, Josep
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Otros autores:
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Universitat de Barcelona |
Abstract:
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Gas sensing systems based on low-cost chemical sensor arrays are gaining interest for the analysis of multicomponent gas mixtures. These sensors show different problems, e.g., nonlinearities and slow time-response, which can be partially solved by digital signal processing. Our approach is based on building a nonlinear inverse dynamic system. Results for different identification techniques, including artificial neural networks and Wiener series, are compared in terms of measurement accuracy. |
Materia(s):
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-Detectors de gasos -Sèries (Matemàtica) -Gas detectors -Series (mathematics) |
Derechos:
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(c) IEEE, 1998
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Tipo de documento:
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Artículo Artículo - Versión publicada |
Editor:
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IEEE
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Compartir:
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