Identifiability of ordinary or delayed nonlinear models: A distribution approach

An original method, combining algebraic and distribution theory approaches, is presented in this paper for analyzing the identifiability of some ordinary or delayed nonlinear models. Then, it is shown how this analysis can be used for parameter estimation. Our purpose is supported by examples and an application in aerospace domain.

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