Test for local structural identifiability of high-order non-linearly parametrized state space models

DOI10.1016/0005-1098(96)00021-0zbMath0919.93025OpenAlexW2005875220MaRDI QIDQ1923072

Hans G. M. Dötsch, Van den Hof, Paul M. J.

Publication date: 11 April 1999

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(96)00021-0

zbMATH Keywords

Lyapunov equationstate space modelsMarkov parametersgradientslocal identifiability

Mathematics Subject Classification ID

System identification (93B30)

Related Items (5)

Further results on identifiability of discrete-time nonlinear systems ⋮ Identifiability of affine linear parameter-varying models ⋮ Determining identifiable parameter combinations using subset profiling ⋮ On fault detectability and isolability ⋮ Structural identifiability of a model for the acetic acid fermentation process

Cites Work

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• Gradient computation in prediction error identification of linear discrete-time systems
• Parametrizations of linear dynamical systems: Canonical forms and identifiability
• Identifiability of linear and nonlinear dynamical systems
• Identification in Parametric Models

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