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2. Methodology for identifying continuous-time models
The classic approach to identifying a system involves formalizing the knowledge available a priori, collecting experimental data, then estimating the structure, parameters and uncertainties of a model, and finally validating (or invalidating) the model .
The models considered in this dossier are assumed to be linear in the inputs, with time-invariant parameters. They are characterized either by their transfer function or by their state form. When a canonical form is used, they are uniquely defined by a vector of parameters, without this posing any problem of identifiability
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Methodology for identifying continuous-time models
Formulation of the identification problem
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