Process Identification Techniques

This paper gives an overview of identification techniques for use in model based predictive control (MPC) applications. Use of parametric and nonparametric models are discussed such as impulse- and step reponse models, statespace models, innovation form models and ARMAX/ARIMAX models. Prediction error methods for on-line and offline identification are presented, control relevant identification techniques based on multistep prediction error identification are presented and identifiability measures and test signal selection are discussed.