Add to ORKGAbstract: In industrial model predictive control (MPC), there is a demand for efficient model identification technology. In this work we will study the identification of industrial processes for use in MPC. The advantages of closed-loop identification will be discussed and related issues are outlined. Then, the asymptotic method (ASYM) of identification is introduced. Two case studies are carried out to demonstrate the feasibility of the technology. The first one is a partial closed-loop identification of two distillation columns within a chemical plant. The second case is a total closed-loop identification of a simulated distillation column.