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2015 | 25 | 4 | 877-893
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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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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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  • Faculty of Electrical Engineering, West Pomeranian University of Technology, 26 Kwietnia 10, 71-126 Szczecin, Poland
  • Faculty of Electrical Engineering, West Pomeranian University of Technology, 26 Kwietnia 10, 71-126 Szczecin, Poland
  • Faculty of Electrical Engineering, West Pomeranian University of Technology, 26 Kwietnia 10, 71-126 Szczecin, Poland
  • Faculty of Electrical Engineering, West Pomeranian University of Technology, 26 Kwietnia 10, 71-126 Szczecin, Poland
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