System Identification through the Eyes of Model Validation

Classical model validation procedures are placed at the focus of our attention. We discuss the principles by which we reach confidence in a model through such validation techniques, and also how the distance to a "true" description can be estimated this way. In particular we stress that model errors must be separated from disturbances in this process, and that consequently correlation tests between the model residuals and past inputs play a crucial role in this process