Abstract

This paper proposes a method to build an identified model from an observed sequence of input/output vectors and a model of knowledge on the system to identify. This method comprises two steps. The first one starts by checking whether the knowledge model is compatible with the observed sequence; when this is the case, the identified model is built automatically. From this result, the observed and unobserved behaviors of the knowledge model are then explicitly determined, in a second step.

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