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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2015-12-01
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| Series: | International Journal of Applied Mathematics and Computer Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/amcs-2015-0063 |
| _version_ | 1819131800467800064 |
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| author | Bańka Stanisław Brasel Michał Dworak Paweł Jaroszewski Krzysztof |
| author_facet | Bańka Stanisław Brasel Michał Dworak Paweł Jaroszewski Krzysztof |
| author_sort | Bańka Stanisław |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T09:21:16Z |
| format | Article |
| id | doaj.art-3226f83cb1534350b077f5b5f0b63f44 |
| institution | Directory Open Access Journal |
| issn | 2083-8492 |
| language | English |
| last_indexed | 2024-12-22T09:21:16Z |
| publishDate | 2015-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | International Journal of Applied Mathematics and Computer Science |
| spelling | doaj.art-3226f83cb1534350b077f5b5f0b63f442022-12-21T18:31:10ZengSciendoInternational Journal of Applied Mathematics and Computer Science2083-84922015-12-0125487789310.1515/amcs-2015-0063amcs-2015-0063A Comparative and Experimental Study on Gradient and Genetic Optimization Algorithms for Parameter Identification of Linear MIMO Models of a Drilling VesselBańka Stanisław0Brasel Michał1Dworak Paweł2Jaroszewski Krzysztof3Faculty of Electrical Engineering, West Pomeranian University of Technology, 26 Kwietnia 10, 71-126 Szczecin, PolandFaculty of Electrical Engineering, West Pomeranian University of Technology, 26 Kwietnia 10, 71-126 Szczecin, PolandFaculty of Electrical Engineering, West Pomeranian University of Technology, 26 Kwietnia 10, 71-126 Szczecin, PolandFaculty of Electrical Engineering, West Pomeranian University of Technology, 26 Kwietnia 10, 71-126 Szczecin, PolandThe 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.https://doi.org/10.1515/amcs-2015-0063mimo dynamic plantidentificationnonlinear system |
| spellingShingle | Bańka Stanisław Brasel Michał Dworak Paweł Jaroszewski Krzysztof 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 mimo dynamic plant identification nonlinear system |
| title | A Comparative and Experimental Study on Gradient and Genetic Optimization Algorithms for Parameter Identification of Linear MIMO Models of a Drilling Vessel |
| title_full | A Comparative and Experimental Study on Gradient and Genetic Optimization Algorithms for Parameter Identification of Linear MIMO Models of a Drilling Vessel |
| title_fullStr | A Comparative and Experimental Study on Gradient and Genetic Optimization Algorithms for Parameter Identification of Linear MIMO Models of a Drilling Vessel |
| title_full_unstemmed | A Comparative and Experimental Study on Gradient and Genetic Optimization Algorithms for Parameter Identification of Linear MIMO Models of a Drilling Vessel |
| title_short | A Comparative and Experimental Study on Gradient and Genetic Optimization Algorithms for Parameter Identification of Linear MIMO Models of a Drilling Vessel |
| title_sort | comparative and experimental study on gradient and genetic optimization algorithms for parameter identification of linear mimo models of a drilling vessel |
| topic | mimo dynamic plant identification nonlinear system |
| url | https://doi.org/10.1515/amcs-2015-0063 |
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