A Comparative And Experimental Study On Gradient And Genetic Optimization Algorithms For Parameter Identification Of Linear MIMO Models Of A Drilling Vessel

摘要

The paper presents algorithms for parameter identification of linear vessel models being in force for the current operating point of a ship. Advantages and disadvantages of gradient and genetic algorithms in identifying the model parameters are discussed. The study is supported by presentation of identification results for a nonlinear model of a drilling vessel.