The maximum likelihood method of identification of parameters of dynamic processes was introduced in 1965 and has been used for numerical identification of a selection of industrial processes since that time. As the authors know of only one other attempt to apply this technique in the shipping world, this report presents the background theory of the method before describing its application to investigate the rolling and steering characteristics of a 2300 ton displacement vessel. Although these results do not lead to definitive conclusions, they reveal the potential of the method in an area in which easily applicable techniques are sparse. The biggest advantage of this technique is that it is reasonably undemanding on ship’s time and, in fact, may be applied without seriously interfering with the normal operation of the vessel.


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    Titel :

    Results from ship dynamic experiments using the maximum likelihood identification technique


    Beteiligte:
    Flower, J.O. (Autor:in) / Towhidi, A. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.10.1975


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Schlagwörter :


    The Identification of Linear Ship Steering Dynamics Using Maximum Likelihood Parameter Estimation

    K. J. Astrom / C. G. Kallstrom / N. H. Norrbin et al. | NTIS | 1975


    The identification of linear ship steering dynamics using maximum likelihood parameter estimation

    Åström, Karl J. ;Källström, Claes G. ;Norrbin, Nils H. | TIBKAT | 1975



    Evaluation of a Maximum Likelihood System Identification Technique on Flutter Testing Data

    Van der Auweraer, H. / Leuridan, J. | Emerald Group Publishing | 1990


    Maximum Likelihood Identification of Glint Noise

    Wu, W.-R. | Online Contents | 1996