Abstract
The paper considers the problem of determining an optimal observation schedule for discrimination between competing models of a dynamic process. To this end, an approach originating in optimum experimental design is applied. Its use necessitates solving some maximin problem. Unfortunately, a high computational cost is the main reason for limited practical applications, especially regarding distributed parameter systems. The paper constitutes an attempt to overcome such an impediment via a parallel implementation performed on a Linux cluster. The resulting numerical scheme is validated on a simulation example motivated by problems arising in chemical kinetics.
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Kuczewski, B., Baranowski, P., Uciński, D. (2006). Parallel Processing in Discrimination Between Models of Dynamic Systems. In: Wyrzykowski, R., Dongarra, J., Meyer, N., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2005. Lecture Notes in Computer Science, vol 3911. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752578_41
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DOI: https://doi.org/10.1007/11752578_41
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Print ISBN: 978-3-540-34141-3
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