Abstract For Hammerstein-Wiener model with colored process noise, this paper derives an identification approach. The correlation function between input and output data points is derived by using separable signal to realize that the unmeasurable internal variable is replaced by the correlation function of input, and then correlation analysis method is used to estimate the parameters of the output nonlinear part and linear part. Furthermore, a correction term is added to least square estimation to compensate error caused by process noise, and then to derive an error compensation recursive least square method for the observed data from Hammerstein-Wiener model. Therefore, the parameters of the input nonlinear part can be estimated by error compensation method. Finally, the advantages of proposed algorithm are shown by simulation example.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Identification Approach of Hammerstein-Wiener Model Corrupted by Colored Process Noise


    Beteiligte:
    Li, Feng (Autor:in) / Jia, Li (Autor:in) / Xiong, Qi (Autor:in)


    Erscheinungsdatum :

    01.01.2017


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Subspace-based Identification Algorithms for Hammerstein and Wiener Models

    Gomez, J. C. / Baeyens, E. | British Library Online Contents | 2005



    Nlfxlms and thf‐nlfxlms algorithms for wiener‐hammerstein nonlinear active noise control

    Srazhidinov, Radik / Kamil, Raja / Mohd Noor, Samsul Bahari | British Library Online Contents | 2017


    Wiener-Hammerstein Model Based Electrical Equalizer for Optical Communication Systems

    Pan, J. / Cheng, C.-H. | British Library Online Contents | 2011