ABSTRACT
Identification can be justified by the reduced time and effort required in building the models, and the flexibility of parameterized experimental models in real-world modeling problems. For simple input-output relations, linear models are a relatively robust alternative. Linear models are simple and efficient also when extending to the identification of adaptive and/ or dynamic models, and readily available control design methods can be found from the literature. However, most industrial processes are non-linear.
