Nonlinear inverse dynamic models of gas sensing systems based onchemical sensor arrays for quantitative measurements |
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Authors: | Pardo A. Marco S. Samitier J. |
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Affiliation: | Dept. d'Electron., Barcelona Univ.; |
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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 |
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