Structural identifiability is a concept in system identification and mathematical modeling that refers to the ability to uniquely estimate model parameters from input-output data, given a particular model structure. In other words, a model is structurally identifiable if one can determine the parameters of the model uniquely based on the functional form of the model and the data collected from experiments or observations.
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