Subsystem State-Space Model Identification and Its Sensitivity to Test Variability
Paper in proceeding, 2004

A method for identification of a subsystem state-space model is presented. Having available models for the complete coupled system and for the remaining subsystem, the unknown model can be extracted via linear matrix operations only. Hence, the method is computationally cheap. However, as the a priori known models most likely are contaminated with modelling and parametric errors visavis physical reality, a sensitivity analysis is performed. Analytical expressions for the identified model sensitivity to parameterized uncertainties in the known models are derived. General conclusions based on inspection of the analytical expressions are validated by numerical experiments.


P. Kalling


Thomas Abrahamsson


Tomas McKelvey

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Proceedings of the 2004 International Conference on Noise and Vibration Engineering, ISMA; Leuven; Belgium; 20 September 2004 through 22 September 2004

978-907380282-7 (ISBN)

Subject Categories

Computer and Information Science



More information

Latest update