ON STRUCTURAL IDENTIFIABILITY OF SYSTEM PARAMETERS OF LINEAR MODELS
Tatyana Avdeenko*
* Novosibirsk State Technical University, Novosibirsk
Investigation of structural identifiability of even linear dynamical models requires complicated algebraic manipulations with use of computer algebra methods. In present work very efficient approach to testing both local and global identifiability of system parameters is offered which does not require too complex algebraic computations and therefore allows to increase the dimension of testable models. In addition to consideration of general case two widely used classes of model structures are studied. Illustrative example is given to show advantages of the approach
Keywords: Parameter identification, identifiability, linear systems, parametrization
Session slot T-Mo-M02: State Space Identification and Subspace Methods/Area code 3a : Modelling, Identification and Signal Processing

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