Identification of Hammerstein-Wiener ARMAX systems using Extended Kalman Filter

Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011

Volumn , Issue , 2011, Pages 1110-1114

  Mansouri, M ^a   Tolouei, H ^a   Shoorehdeli, M Aliyari ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Extended Forgetting Factor Stochastic Gradient algorithm; Extended Kalman Filter algorithm; Extended Stochastic Gradient algorithm; Hammerstein Wiener model

Indexed keywords

ARMAX MODEL; AVERAGING METHOD; EXTENDED KALMAN FILTER ALGORITHM; FORGETTING FACTORS; FORM OF PRODUCTS; HAMMERSTEIN-WIENER MODELS; IDENTIFICATION MODEL; OTHER ALGORITHMS; PRODUCT FORMS; RECURSIVE LEAST SQUARES; SINGULAR VALUE DECOMPOSITION METHOD; STOCHASTIC GRADIENT; STOCHASTIC GRADIENT ALGORITHMS; SVD METHOD;

ALGORITHMS; COMPUTATIONAL COMPLEXITY; ESTIMATION; EXTENDED KALMAN FILTERS; IDENTIFICATION (CONTROL SYSTEMS); LEAST SQUARES APPROXIMATIONS; POSITION CONTROL; SINGULAR VALUE DECOMPOSITION; STOCHASTIC SYSTEMS;

PARAMETER ESTIMATION;

EID: 80052229397     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2011.5968351     Document Type: Conference Paper

References (13)

1. E.W. Bai, A blind approach to Hammerstein-Wiener model identification. Automatica 38 (6), 967-979, 2002.
2. Y.C. Zhu, Estimation of an N-L-N Hammerstein-Wiener model. Automatica 38 (9), 1607-1614, 2002.
3. E.W. Bai, An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems. Automatica 34 (3), 333-338, 1998.
4. P. Crama, J. Schoukens, and R. Pintelon, Generation of enhanced initial estimates for Hammerstein systems. Automatica 40 (7), 1269-1273, 2004.
5. Sung SW, System identification method for Hammerstein processes. Industrial & Engineering Chemistry Research, 41 (17), 4295-4302, 2002.
6. J.Voros, An iterative method for Hammerstein-Wiener systems parameter identification, journal of electrical engineering 55 (11-12), 328-331, 2004.
7. F.Z. Chaoui, F. Giri, Y. Rochdi, M Haloua, A. Naitali, System identification based on Hammerstein model, international journal of control 78 (6), 430-442, 2005.
8. D. Wang, F. Ding, Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems, journal of computers and mathematics with applications 56, 3157-3164, 2008.
9. Julier, S. J., Uhlmann, J. K., and Durrant-Whyte, H. F, A new Method for the Nonlinear Transformation of Means and Covariances in Filters and Estimators, IEEE Transactions on Automatic Control 45 (3), 477-482, 2000.
10. Julier, S. J., and Uhlmann J. K, Unscented Filtering and Nonlinear Estimation, Proceedings of the IEEE, 92, 401-422, 2004.
11. Dan Simon, Optimal State Estimation, John Wiley & Sons, New Jersey, 2006.
12. Li Meng, Liu Li, S.M. Veres, Aerodynamic Parameter Estimation of an Unmanned Aerial Vehicle Based on Extended Kalman Filter and Its Higher Order Approach, IEEE 978 1, 2010.
13. Ph. Crama, J. Schoukens, Hammerstein-Wiener System Estimator Initialization ISMA - VOLUME III, 2002.