Identifiability of dynamic systems

DOI10.1080/00207727808941738zbMath0391.93008OpenAlexW2034041141MaRDI QIDQ4173246

Arild Thowsen

Publication date: 1978

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207727808941738

zbMATH Keywords

Biological Compartmental ModelsJacobian MatrixLinear Timeinvariant SystemsStructurally Identifiable

Mathematics Subject Classification ID

System identification (93B30) Linear systems in control theory (93C05) Control/observation systems governed by ordinary differential equations (93C15) Model systems in control theory (93C99)

Related Items

On the similarity between two approaches to the identifiability problem ⋮ Identifiability analysis of linear ordinary differential equation systems with a single trajectory ⋮ Fundamental properties of linear control systems with after-effect. I: The continuous case ⋮ Determining the parametric structure of models ⋮ New results on the problem of identifiability of a linear system ⋮ Necessary and sufficient structural condition for local identifiability of a system with linear compartments ⋮ Relations between the main approaches to linear system identifiability: application to calculation of jacobian matrices determinants ⋮ Parameter redundancy in discrete state-space and integrated models ⋮ A sufficient condition for identifiability of a linear system ⋮ Complete parameter bounds and quasiidentifiability conditions for a class of unidentifiable linear systems ⋮ Application of the non-periodic sampling to the identifiability and model matching problems in dynamic systems ⋮ On local identifiability of linear systems ⋮ Local identifiability of linear systems in a general input-output configuration

Cites Work

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• Structural identifiability of compartmental models and pathophysiological information from the kinetics of drugs
• The Jacobian matrix and global univalence of mappings
• System identification. A survey
• On system parameter identifiability
• Generalization of the Rank and Order Conditions for Identifiability
• Identifiability of linear and nonlinear dynamical systems
• Identification in Parametric Models

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