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Variable- and Fixed-Structure Augmented Interacting Multiple Model Algorithms for Manoeuvring Ship Tracking Based on New Ship Models

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Variable- and Fixed-Structure Augmented Interacting Multiple Model Algorithms for Manoeuvring Ship Tracking Based on New Ship Models. / Semerdjiev, E.; Mihaylova, L.

In: International Journal of Applied Mathematics and Computer Science, Vol. 10, No. 3, 01.03.2000, p. 591-604.

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Semerdjiev E, Mihaylova L. Variable- and Fixed-Structure Augmented Interacting Multiple Model Algorithms for Manoeuvring Ship Tracking Based on New Ship Models. International Journal of Applied Mathematics and Computer Science. 2000 Mar 1;10(3):591-604.

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Semerdjiev, E. ; Mihaylova, L. / Variable- and Fixed-Structure Augmented Interacting Multiple Model Algorithms for Manoeuvring Ship Tracking Based on New Ship Models. In: International Journal of Applied Mathematics and Computer Science. 2000 ; Vol. 10, No. 3. pp. 591-604.

Bibtex

@article{60942828c5b74e06a83baba83cf66f88,
title = "Variable- and Fixed-Structure Augmented Interacting Multiple Model Algorithms for Manoeuvring Ship Tracking Based on New Ship Models",
abstract = "The real-world tracking applications meet a number of difficulties caused by the presence of different kinds of uncertainty - unknown or not precisely known system model and random processes{\textquoteright} statistics or due to abrupt changes in the system modes of functioning. These problems are especially complicated in the marine navigation practice, where the commonly used simple models of rectilinear or curvilinear target motions do not match to the highly non-linear dynamics of the manoeuvring ship motion. A solution of these problems is to derive more adequate descriptions of the real ship dynamics and to design adaptive estimation algorithms. After analysis of basic hydrodynamic models, new ship models are derived in the paper. They are implemented in two versions of the recently very popular Interacting Multiple Model (IMM) algorithm. The first one is a standard IMM version using preliminary defined fixed structure (FS) of models. They represent various modes of ship motion, distinguished by their rate of turns. The same rate of turn is additionally adjusted in the proposed new augmented versions of the IMM (AIMM) algorithm by using FS and variable structure (VS) of adaptive models estimating the current change of the system control parameters. The obtained Monte Carlo simulation results show that the VS AIMM algorithm outperforms the FS AIMM and FS IMM algorithms with respect to accuracy and adaptability.",
keywords = "Interacting Multiple Model (IMM) algorithm, model uncertainty, state and parameter estimation, DCS-publications-id, art-760, DCS-publications-credits, dsp, DCS-publications-personnel-id, 121",
author = "E. Semerdjiev and L. Mihaylova",
year = "2000",
month = mar,
day = "1",
language = "English",
volume = "10",
pages = "591--604",
journal = "International Journal of Applied Mathematics and Computer Science",
issn = "1641-876X",
publisher = "Walter de Gruyter GmbH",
number = "3",

}

RIS

TY - JOUR

T1 - Variable- and Fixed-Structure Augmented Interacting Multiple Model Algorithms for Manoeuvring Ship Tracking Based on New Ship Models

AU - Semerdjiev, E.

AU - Mihaylova, L.

PY - 2000/3/1

Y1 - 2000/3/1

N2 - The real-world tracking applications meet a number of difficulties caused by the presence of different kinds of uncertainty - unknown or not precisely known system model and random processes’ statistics or due to abrupt changes in the system modes of functioning. These problems are especially complicated in the marine navigation practice, where the commonly used simple models of rectilinear or curvilinear target motions do not match to the highly non-linear dynamics of the manoeuvring ship motion. A solution of these problems is to derive more adequate descriptions of the real ship dynamics and to design adaptive estimation algorithms. After analysis of basic hydrodynamic models, new ship models are derived in the paper. They are implemented in two versions of the recently very popular Interacting Multiple Model (IMM) algorithm. The first one is a standard IMM version using preliminary defined fixed structure (FS) of models. They represent various modes of ship motion, distinguished by their rate of turns. The same rate of turn is additionally adjusted in the proposed new augmented versions of the IMM (AIMM) algorithm by using FS and variable structure (VS) of adaptive models estimating the current change of the system control parameters. The obtained Monte Carlo simulation results show that the VS AIMM algorithm outperforms the FS AIMM and FS IMM algorithms with respect to accuracy and adaptability.

AB - The real-world tracking applications meet a number of difficulties caused by the presence of different kinds of uncertainty - unknown or not precisely known system model and random processes’ statistics or due to abrupt changes in the system modes of functioning. These problems are especially complicated in the marine navigation practice, where the commonly used simple models of rectilinear or curvilinear target motions do not match to the highly non-linear dynamics of the manoeuvring ship motion. A solution of these problems is to derive more adequate descriptions of the real ship dynamics and to design adaptive estimation algorithms. After analysis of basic hydrodynamic models, new ship models are derived in the paper. They are implemented in two versions of the recently very popular Interacting Multiple Model (IMM) algorithm. The first one is a standard IMM version using preliminary defined fixed structure (FS) of models. They represent various modes of ship motion, distinguished by their rate of turns. The same rate of turn is additionally adjusted in the proposed new augmented versions of the IMM (AIMM) algorithm by using FS and variable structure (VS) of adaptive models estimating the current change of the system control parameters. The obtained Monte Carlo simulation results show that the VS AIMM algorithm outperforms the FS AIMM and FS IMM algorithms with respect to accuracy and adaptability.

KW - Interacting Multiple Model (IMM) algorithm

KW - model uncertainty

KW - state and parameter estimation

KW - DCS-publications-id

KW - art-760

KW - DCS-publications-credits

KW - dsp

KW - DCS-publications-personnel-id

KW - 121

M3 - Journal article

VL - 10

SP - 591

EP - 604

JO - International Journal of Applied Mathematics and Computer Science

JF - International Journal of Applied Mathematics and Computer Science

SN - 1641-876X

IS - 3

ER -