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

Author

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

Subjects
mimo dynamic plant, identification, nonlinear system, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95
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.

Published
2015
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