Comparative Study of Subspace Identification Methods on the Tennessee Eastman Process under Disturbance Effects

Abstract— In this paper, subspace identification methods are compared regarding their capability to cope with process disturbances occurring in complex plants. The Tennessee Eastman process is considered to be a realistic simulation model of chemical processes. The MOESP, N4SID and ORT methods as well as some of their variants are applied to data gathered from the process while being subject to random disturbances. Such disturbances cause the identification methods to have unforeseen difficulties in identifying the correct parameter values.

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