IDENTIFICATION METHODS OF DYNAMIC SYSTEMS IN PRESENCE OF INPUT NOISE

摘要

In many practical situations the observed input-output data of an identified process are corrupted by noise both on the input and output. It is well-known that in this case many identification methods give biased results. In this work three different approaches characterized by consistent estimates of the system parameters are briefly described and their performances are compared on the basis of numerical simulations.