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Title
Input data selection for identification of the incremental ship’s model

ISSN printed: 1733-8670, ISSN on-line: 2392-0378
Miller, Anna1
URI: https://repository.am.szczecin.pl/handle/123456789/2357
2016-12-28
The procedure of Linear Incremental Model (LIM) identification requires input and output signal deviations as opposed to their actual values. When considering a vessel as a plant, the sequence of input signals determines the traceability of the estimated LIM. The manual input signals selection procedure is a demanding and time consuming empirical procedure. In order to increase the speed of object identification and to eliminate input-output signal sequences which give unreliable data, an incremental linear model identification algorithm was developed and is presented. Moreover, the method of parameter selection for input signal pseudo-random sequences is described in this paper. Emphasis is placed on the practical aspect of astatic objects – ship’s LIM creation and input-output signal deviations selection method.
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Title

Input data selection for identification of the incremental ship’s model

Pages

29-36

Figures

20

Tables

1

ISSN printed

1733-8670

ISSN on-line

2392-0378

DOI

10.17402/172

Type

Original scientific article

Journal

48 Scientific Journals of the Maritime University of Szczecin, no. 48 / 2016

Publisher

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Copyright Holder

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Published

2016-12-28

Recieved

2016-05-27

Accepted

2016-07-14

Funding

No data

Keywords

parameters, model identification, mathematical linear model, model for Model Predictive Control (MPC), selection procedure, data

URI:

https://repository.am.szczecin.pl/handle/123456789/2357

Language

English

Authors

Miller, Anna1

Affiliation

1 Gdynia Maritime University, Department of Ship Automation 81–87 Morska St., 81-225 Gdynia, Poland, anwas@am.gdynia.pl

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