A comparative analysis of two modeling and estimation methods for nonlinear characteristics of the Hammerstein system

• Autorzy: Gałek Marcin
• Języki publikacji: EN

Abstrakty

EN

This paper presents a comparative analysis of two methods which can be used to modeling a nonlinear characteristic of the Hammerstein system. The first one is based on the polynomial expansion and the second is based on the Radial Basis Functions.

• Wydawca: Oficyna Wydawnicza Politechniki Opolskiej
• Czasopismo: Zeszyty Naukowe. Elektryka / Politechnika Opolska
• Rocznik: 2015
• Tom: z. 71
• Strony: 15--18
• Opis fizyczny: Bibliogr. 6 poz., rys., wykr.

Twórcy

autor

Gałek Marcin

• Faculty of Electrical Engineering, Automatic Control and Informatics Institute of Control and Computer Engineering

Bibliografia

• [1] GARULLI A., GIARRE L., ZAPPA G.: ”Identification of approximated Hammerstein models in a worst case setting”. IEEE Transaction on Automatic Control. Volume 47 (2002). pp. 2046–2050.
• [2] LATAWIEC K.J., STANISŁAWSKI R., STANISŁAWSKI W., OLIVEIRA G.H.C.: ”Modelling of boiler proper by means multivariable orthonormal basis functions”. Proceedings of the 11th International Conference on Methods and Models in Automation and Robotics, Międzyzdroje, Poland 2005, pp. 777–780.
• [3] LATAWIEC K.J., MARCIAK C., ROJEK R., OLIVEIRA G.H.C.: ”Linear parameter estimation and protective constrained control of Wiener/Hammerstein systems”. Proceedings of the 13th IFAC Symposium on System Identification, Rotterdam, Netherlands 2003, pp. 359–364.
• [4] LATAWIEC K.J., MARCIAK C., STANISŁAWSKI R., OLIVEIRA G.H.C.: ”The mode separability principle in modeling of linear and nonlinear block-oriented system”. Proceedings of the 9th International Conference on Methods and Models in Automation and Robotics, Międzyzdroje, Poland 2004, pp. 479–484.
• [5] LATAWIEC K.J.: ”The Power of Inverse Systems in Linear and Nonlinear Modeling and Control”. Opole University of Technology Press, Opole, Poland 2004.
• [6] DEMPSEY E.J., WESTWICK D.T.: ”Identification of Hammerstein models with cubic spline nonlinearities”. IEEE Trans. Biomedical Engineering. Vol. 52, pp. 237–245.