Generalized performance criteria for identified models
Abstract
It is shown that some usual criteria evaluating the performance of an identified model with respect to experimental data, like FIT criterion, can be not well-suited to fast sampled systems. This leads to propose some genralized criteria where the signals are filtered by transfer functions belonging to an orthonormal basis. An interpretation of this filtering in the frequency domain is proposed. The basis poles selection is equivalent to making a specification about the criteria in function of the expected use of the identified model.
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