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

doi:10.1515/amcs-2015-0063

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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

International Journal of Applied Mathematics and Computer Science

Volume 25 (2015): Issue 4 (December 2015)

By: Stanisław Bańka, Michał Brasel, Paweł Dworak and Krzysztof Jaroszewski

Open Access

|Dec 2015

Abstract

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.

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DOI: https://doi.org/10.1515/amcs-2015-0063 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X

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Language: English

Page range: 877 - 893

Submitted on: Oct 6, 2014

Published on: Dec 30, 2015

Published by: University of Zielona Góra

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

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© 2015 Stanisław Bańka, Michał Brasel, Paweł Dworak, Krzysztof Jaroszewski, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 25 (2015): Issue 4 (December 2015)