Pardo Martínez, AntonioMarco Colás, SantiagoSamitier i Martí, Josep2009-06-172009-06-1719980018-9456https://hdl.handle.net/2445/8689Gas 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.8 p.application/pdfeng(c) IEEE, 1998Detectors de gasosSèries (Matemàtica)Gas detectorsSeries (mathematics)Nonlinear inverse dynamic models of gas sensing systems based on chemical sensor arrays for quantitative measurementsinfo:eu-repo/semantics/article143633info:eu-repo/semantics/openAccess