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Nonlinear inverse dynamic models of gas sensing systems based on chemical sensor arrays for quantitative measurements
Pardo Martínez, Antonio; Marco Colás, Santiago; Samitier i Martí, Josep
Universitat de Barcelona
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.
Detectors de gasos
Sèries (Matemàtica)
Gas detectors
Series (mathematics)
(c) IEEE, 1998

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