International Journal of applied mathematics and computer science

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Paper details

Number 4 - December 2015
Volume 25 - 2015

A comparative and experimental study on gradient and genetic optimization algorithms for parameter identification of linear MIMO models of a drilling vessel

Stanisław Bańka, Michał Brasel, Paweł Dworak, Krzysztof Jaroszewski

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.

MIMO dynamic plant, identification, nonlinear system