Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/8689
Title: Nonlinear inverse dynamic models of gas sensing systems based on chemical sensor arrays for quantitative measurements
Author: Pardo Martínez, Antonio
Marco Colás, Santiago
Samitier i Martí, Josep
Keywords: Detectors de gasos
Sèries (Matemàtica)
Gas detectors
Series (mathematics)
Issue Date: 1998
Publisher: IEEE
Abstract: 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.
Note: Reproducció del document publicat a http://dx.doi.org/10.1109/19.744316
It is part of: IEEE Transactions on Instrumentation and Measurement, 1998, vol. 47, núm. 3, p. 644-651.
URI: http://hdl.handle.net/2445/8689
ISSN: 0018-9456
Appears in Collections:Articles publicats en revistes (Electrònica)

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