A Comparative and Experimental Study on Gradient and Genetic Optimization Algorithms for Parameter Identification of Linear MIMO Models of a Drilling Vessel

A Comparative and Experimental Study on Gradient and Genetic Optimization Algorithms for Parameter Identification of Linear MIMO Models of a Drilling Vessel

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 id...

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Bibliographic Details
Main Authors: Bańka Stanisław, Brasel Michał, Dworak Paweł, Jaroszewski Krzysztof
Format: Article
Language:English
Published: Sciendo 2015-12-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
mimo dynamic plant
identification
nonlinear system
Online Access:https://doi.org/10.1515/amcs-2015-0063
Description
Summary: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.
ISSN:2083-8492

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