Augmented Switching Linear Dynamical System Model for Gas Concentration Estimation with MOX Sensors in an Open Sampling System

In this paper, we introduce a Bayesian time series model approach for gas concentration estimation using Metal Oxide (MOX) sensors in Open Sampling System (OSS). Our approach focuses on the compensation of the slow response of MOX sensors, while concurrently solving the problem of estimating the gas...

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Detalles Bibliográficos
Autores principales: Di Lello, Enrico, Trincavelli, Marco, Bruyninckx, Herman, De Laet, Tinne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168419/
https://www.ncbi.nlm.nih.gov/pubmed/25019637
http://dx.doi.org/10.3390/s140712533

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168419/
https://www.ncbi.nlm.nih.gov/pubmed/25019637
http://dx.doi.org/10.3390/s140712533

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