A. Pardo et al., Nonlinear inverse dynamic models of gas sensing systems based on chemical sensor arrays for quantitative measurements, IEEE INSTR, 47(3), 1998, pp. 644-651
Citations number
25
Categorie Soggetti
Instrumentation & Measurement
Journal title
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Gas sensing systems based on low-cost chemical sensor arrays are gaining in
terest 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 identifi
cation techniques, including artificial neural networks and Wiener series,
are compared in terms of measurement accuracy.