Decomposition methods for the identifiability analysis of large systemsy†

DOI10.1080/00207177808922437zbMath0391.93001OpenAlexW2120816044MaRDI QIDQ4173240

N. Sorrentino, Mario Milanese

Publication date: 1978

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207177808922437

zbMATH Keywords

DecompositionIdentifiabilityLarge SystemsUnidentifiable Parameters

Mathematics Subject Classification ID

System identification (93B30) Large-scale systems (93A15)

Related Items

First-order chemical reaction networks. I: Theoretical considerations ⋮ Decomposition-based qualitative experiment design algorithms for a class of compartmental models ⋮ Structural identification of large systems by reduction to subsystems: VLDL triglycerides ⋮ A procedure for generating locally identifiable reparametrisations of unidentifiable nonlinear systems by the similarity transformation approach ⋮ Extensions to a procedure for generating locally identifiable reparameterisations of unidentifiable systems ⋮ Numerical parameter identifiability and estimability: Integrating identifiability, estimability, and optimal sampling design

Cites Work

• Structural identifiability of compartmental models and pathophysiological information from the kinetics of drugs
• Parametrizations of linear dynamical systems: Canonical forms and identifiability
• Identifiability of linear and nonlinear dynamical systems