Black- and white-box approaches for cascaded tanks benchmark system identification
Journal article, 2018

This contribution consists of the identification and comparison of different models for a non-linear system: the Cascaded Tanks system. The identification of this system is challenging due to the combination of soft and hard non-linearities. Model structures with different levels of flexibility and prior knowledge are compared. The most simple ones are linear black-box models. They are extended to become non-linear black-box models, whose performances are compared with the linear ones. A second track is the investigation of a series of models with increasing complexity based on physical prior knowledge. Results show that while linear black-box models perform good in prediction, a fairly precise description of the non-linear effects is needed to achieve good performances in simulation. All models have been estimated and validated using benchmark data from a real cascaded tanks system. The contribution represents also an overview on how standard modelling techniques perform on a real identification problem.


Cascaded Tanks



Nonlinear system


Giuseppe Giordano

Chalmers, Electrical Engineering, Systems and control, Mechatronics

Jonas Sjöberg

Chalmers, Electrical Engineering, Systems and control, Mechatronics

Mechanical Systems and Signal Processing

0888-3270 (ISSN) 1096-1216 (eISSN)

Vol. 108 387-397

Subject Categories

Fluid Mechanics and Acoustics

Building Technologies

Signal Processing



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