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Published on: May 10, 2022
Structural identifiability of viscoelastic mechanical systems
Adam Mahdi1, Nicolette Meshkat1, Seth Sullivant1
1Department of Mathematics, North Carolina State University, Raleigh, North Carolina, United States of America.
Abstract:
We solve the local and global structural identifiability problems for viscoelastic mechanical models represented by networks of springs and dashpots. We propose a very simple characterization of both local and global structural identifiability based on identifiability tables, with the purpose of providing a guideline for constructing arbitrarily complex, identifiable spring-dashpot networks. We illustrate how to use our results in a number of examples and point to some applications in cardiovascular modeling.
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