An Efficient Method for Structural Identifiability Analysis of Large Dynamic Systems

By J. Karlsson, M. Anguelova, Mats Jirstrand. 2012

153 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Molecular Biology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/057953bed667e73f18a234d34f4ed0c303e462b5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Alexey Ovchinnikov
2. Chee-Keng Yap
3. Gleb Pogudin
4. Hoon Hong

In Molecular Biology

1. Alexey Ovchinnikov
2. Jens Timmer
3. Chee-Keng Yap
4. Franz-Georg Wieland
5. Christian Tonsing
6. Adrian L Hauber
7. Gleb Pogudin
8. Hoon Hong

Citations in the corpus

• On structural and practical identifiability (2021, background): “Furthermore, a variety of notable methods exist, which are based on power series expansion [14], generating series [15, 16], seminumerical approaches [17, 18], differential algebra [19, 20, 21, 22, 23, 24, 25, 26, 27], differential geometry [28],”
• Global Identifiability of Differential Models (2018, methodology): “There has been remarkable progress in checking local identifiability, resulting in efficient algorithms, including rigorously justified probabilistic algorithms (see [17, 46, 9, 22] and the references given there).”