Discrimination between models of distributed parameter systems using T-optimum experimental design

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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. © Springer-Verlag Berlin Heidelberg 2004.

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Kuczewski, B., Patan, M., & Uciński, D. (2004). Discrimination between models of distributed parameter systems using T-optimum experimental design. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 762–769. https://doi.org/10.1007/978-3-540-24669-5_100

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