Dynamic Parameter Estimation of a Nonlinear Vessel Steering Model for Ocean Navigation
Lokukaluge Prasad Perera, Paulo Oliveira, Carlos Guedes Soares · 2011
In this paper the stochastic parameters describing the nonlinear ocean vessel steering model are identified, resorting to an Extended Kalman Filter. The proposed method is applied to a second order modified Nomoto model for the vessel navigation that is derived from first physics principles. The results obtained resorting to a realistic numerical simulator for the nonlinear vessel steering model considered are illustrated in this study.