Structural Identifiability Analysis via Extended Observability and Decomposition
Structural identifiability analysis of nonlinear dynamic models requires symbolic manipulations, whose computational cost rises very fast with problem size. This hampers the application of these techniques to the large models which are increasingly common in systems biology. Here we present a method...
| Главные авторы: | , , |
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| Формат: | Journal article |
| Опубликовано: |
Elsevier
2017
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