SLOW DRIFT MOTIONS IDENTIFICATION OF FLOATING STRUCTURES USING TIME-VARYING INPUT -OUTPUT MODELS

This study presents the identification of slow drift motions of floating structures from model test data. To compute the slow drift motions, nonlinear and nonstationary system identification which exploits the concept of a state-space based time domain input-ouput models is proposed, comprising t...

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Main Author: YAZID, EDWAR
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.21605 /
Published: 2015
Subjects:
TJ Mechanical engineering and machinery
Online Access: http://utpedia.utp.edu.my/21605/1/2015%20-MECHANICAL%20-%20SLOW%20DRIFT%20MOTIONS%20IDENTIFICATION%20OF%20FLOTING%20STRUCTURES%20USING%20TIME-VARYING%20INPUT-OUTPUT%20MODELS%20-%20EDWAR%20YAZID.pdf
http://utpedia.utp.edu.my/21605/
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spelling utp-utpedia.216052021-09-23T09:59:20Z http://utpedia.utp.edu.my/21605/ SLOW DRIFT MOTIONS IDENTIFICATION OF FLOATING STRUCTURES USING TIME-VARYING INPUT -OUTPUT MODELS YAZID, EDWAR TJ Mechanical engineering and machinery This study presents the identification of slow drift motions of floating structures from model test data. To compute the slow drift motions, nonlinear and nonstationary system identification which exploits the concept of a state-space based time domain input-ouput models is proposed, comprising the time-varying nonlinear autoregressive with exogenous input (TVNARX) and Volterra models. Three steps of improvements had been made to increase the modeling capacity of input-output models. The first step is presenting the backward estimator and combined forward-backward estimator instead of the only forward estimator in the original input-output models; the second step is reformulating the input-output models into a state-space model so that the Kalman Smoother (KS) adaptive filter can be used to estimate the model coefficients; the third step is optimization of KS parameters using evolutionary computing algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Artificial Bee Colony (ABC) to form the PSO-KS, GA-KS and ABC-KS as estimation methods. 2015-04 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21605/1/2015%20-MECHANICAL%20-%20SLOW%20DRIFT%20MOTIONS%20IDENTIFICATION%20OF%20FLOTING%20STRUCTURES%20USING%20TIME-VARYING%20INPUT-OUTPUT%20MODELS%20-%20EDWAR%20YAZID.pdf YAZID, EDWAR (2015) SLOW DRIFT MOTIONS IDENTIFICATION OF FLOATING STRUCTURES USING TIME-VARYING INPUT -OUTPUT MODELS. PhD thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
YAZID, EDWAR
SLOW DRIFT MOTIONS IDENTIFICATION OF FLOATING STRUCTURES USING TIME-VARYING INPUT -OUTPUT MODELS
description This study presents the identification of slow drift motions of floating structures from model test data. To compute the slow drift motions, nonlinear and nonstationary system identification which exploits the concept of a state-space based time domain input-ouput models is proposed, comprising the time-varying nonlinear autoregressive with exogenous input (TVNARX) and Volterra models. Three steps of improvements had been made to increase the modeling capacity of input-output models. The first step is presenting the backward estimator and combined forward-backward estimator instead of the only forward estimator in the original input-output models; the second step is reformulating the input-output models into a state-space model so that the Kalman Smoother (KS) adaptive filter can be used to estimate the model coefficients; the third step is optimization of KS parameters using evolutionary computing algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Artificial Bee Colony (ABC) to form the PSO-KS, GA-KS and ABC-KS as estimation methods.
format Thesis
author YAZID, EDWAR
author_sort YAZID, EDWAR
title SLOW DRIFT MOTIONS IDENTIFICATION OF FLOATING STRUCTURES USING TIME-VARYING INPUT -OUTPUT MODELS
title_short SLOW DRIFT MOTIONS IDENTIFICATION OF FLOATING STRUCTURES USING TIME-VARYING INPUT -OUTPUT MODELS
title_full SLOW DRIFT MOTIONS IDENTIFICATION OF FLOATING STRUCTURES USING TIME-VARYING INPUT -OUTPUT MODELS
title_fullStr SLOW DRIFT MOTIONS IDENTIFICATION OF FLOATING STRUCTURES USING TIME-VARYING INPUT -OUTPUT MODELS
title_full_unstemmed SLOW DRIFT MOTIONS IDENTIFICATION OF FLOATING STRUCTURES USING TIME-VARYING INPUT -OUTPUT MODELS
title_sort slow drift motions identification of floating structures using time-varying input -output models
publishDate 2015
url http://utpedia.utp.edu.my/21605/1/2015%20-MECHANICAL%20-%20SLOW%20DRIFT%20MOTIONS%20IDENTIFICATION%20OF%20FLOTING%20STRUCTURES%20USING%20TIME-VARYING%20INPUT-OUTPUT%20MODELS%20-%20EDWAR%20YAZID.pdf
http://utpedia.utp.edu.my/21605/
_version_ 1741195763789070336
score 11.62408

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