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Discrimination between Models of Distributed Parameter Systems Using T-optimum Experimental Design

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Parallel Processing and Applied Mathematics (PPAM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3019))

Abstract

The paper considers the problem of determining an optimal sensor location for discrimination between competing models of distributed parameter process. A measurement policy using stationary sensors is proposed based on a numerical scheme for computing T-optimum designs. The resulting numerical method is validated on a simulation example regarding the atmospheric pollution proliferation process.

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© 2004 Springer-Verlag Berlin Heidelberg

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Kuczewski, B., Patan, M., Uciński, D. (2004). Discrimination between Models of Distributed Parameter Systems Using T-optimum Experimental Design. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_100

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  • DOI: https://doi.org/10.1007/978-3-540-24669-5_100

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21946-0

  • Online ISBN: 978-3-540-24669-5

  • eBook Packages: Springer Book Archive

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