Abstract

This work presents a newapproach for nonlinear system identification of floating structures using time-varyingautoregressive with exogenous input (TVARX)–based Volterra model. This methodutilizes time series of measured wave heights as system input and surge motionas system output. Solution to the proposed approach is also proposed via Kalmansmoother algorithm. The efficacy of the proposed method is then applied in ascaled 1:100 model of a prototype truss spar. It is shown that surge motionobtained from the identification results has good agreement with theexperimental results either in time or frequency domain

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