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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.
2010-05-04
Detectors de gasos
Sèries (Matemàtica)
Gas detectors
Series (mathematics)
(c) IEEE, 1998
Article
IEEE
         

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