Comparison of two different nonlinear state-space identification algorithms

Proceedings of ISMA2006: International Conference on Noise and Vibration Engineering

Volumn 5, Issue , 2006, Pages 2777-2784

  Paduart, Johan ^a   Schoukens, Johan ^a   Smolders, Kris ^a   Swevers, Jan ^a  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ENGINEERING; INDUSTRIAL ENGINEERING;

DISCRETE-TIME MODEL; IDENTIFICATION ALGORITHMS; IDENTIFICATION APPROACH; INPUT-OUTPUT DATA; MEASUREMENTS OF; MODEL USE;

ALGORITHMS;

EID: 34648854549     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Verdult, V. (2002). Nonlinear System Identification - A State Space Approach. Twente University Press
2. Schoukens J., R. Pintelon, T. Dobrowiecki, and Y. Rolain (2005). Identification of linear systems with nonlinear distortions. Automatica, Vol. 41, No. 2, pp. 491-504
3. McKelvey, T., H. Akçay and L. Ljung, (1996). Subspace-based multivariable system identification from frequency response data. IEEE Transactions on Automatic Control, 41(7), pp. 960-979.
4. Pintelon, R. (2002). Frequency-domain subspace system identification using non-parametric noise models. Automatica, Vol. 38, pp. 1295-1311.
5. Golub, G. H., C. F. Van Loan (1996). Matrix Computations - Third Edition. The John Hopkins University Press, London.
6. Smolders, K., M. Witters, J. Swevers, P. Sas (2006). Identification of a Nonlinear State Space Model for Control using a Feature Space Transformation. Proceedings of the ISMA2006 Conference.