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Article

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Published version

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1998

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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/8689

Nonlinear inverse dynamic models of gas sensing systems based on chemical sensor arrays for quantitative measurements

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http://dx.doi.org/10.1109/19.744316

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.

Subject

Detectors de gasos, Sèries (Matemàtica)

Subject (English)

Gas detectors, Series (mathematics)

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Articles publicats en revistes (Enginyeria Electrònica i Biomèdica)

Citation

PARDO MARTÍNEZ, Antonio, MARCO COLÁS, Santiago and SAMITIER I MARTÍ, Josep. Nonlinear inverse dynamic models of gas sensing systems based on chemical sensor arrays for quantitative measurements. IEEE Transactions on Instrumentation and Measurement. 1998. Vol. 47, num. 3, pags. 644-651. ISSN 0018-9456. [consulted: 11 of August of 2026]. Available at: https://hdl.handle.net/2445/8689

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