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

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Bańka S., Brasel M., Dworak P., Jaroszewski K.

International Journal of Applied Mathematics and Computer Science

2015

tom 25

nr 4

877-893

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.

Ograniczanie wyników

1 International Journal of Applied Mathematics and Computer Science

1 Bańka S.

1 Brasel M.

1 Dworak P.

1 Jaroszewski K.

1 2015

Wyniki wyszukiwania

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