A new identification criterion is concerned for disturbed system with color noise in this paper. The cost function considers both the errors between the actual outputs and the estimation result and the difference of each estimation error. Under this performance function, a new recursive algorithm DSCN (Disturbed System with Color Noise) is proposed. It could reduce the influence of noise in system identification, further decrease the prediction error. Several simulation examples are given to illustrate the method's anti-disturbance performance.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Recursive Algorithms for a Novel Identification Criterion


    Beteiligte:
    Zhao, Yue (Autor:in) / Luo, Guiming (Autor:in) / Kwon, Wook-Hyun (Autor:in)


    Erscheinungsdatum :

    01.05.2008


    Format / Umfang :

    256975 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Recursive Mode Star Identification Algorithms

    Samaan, M.A. | Online Contents | 2005


    Recursive mode star identification algorithms

    Samaan, M.A. / Mortari, D. / Junkins, J.L. | IEEE | 2005


    Recursive Mode Star Identification Algorithms (AAS 01-149)

    Samaan, M. A. / Mortari, D. / Junkins, J. L. et al. | British Library Conference Proceedings | 2001


    Recursive Mode Star Identification Algorithms (AAS 01-149)

    Samaan, M. A. / Mortari, D. / Junkins, J. L. et al. | British Library Conference Proceedings | 2001


    Recursive generalized maximum correntropy criterion algorithm with sparse penalty constraints for system identification

    Ma, Wentao / Duan, Jiandong / Chen, Badong et al. | British Library Online Contents | 2017