PENGEMBANGAN TEKNIK IDENTIFIKASI RECURSIVE (ON-LINE IDENTIFICATION) UNTUK KASUS ARMAX (AUTOREGRESSIVE MOVING AVERAGE MODEL WITH EXOGENUOS INPUT)

PENGEMBANGAN TEKNIK IDENTIFIKASI RECURSIVE (ON-LINE IDENTIFICATION) UNTUK KASUS ARMAX (AUTOREGRESSIVE MOVING AVERAGE MODEL WITH EXOGENUOS INPUT)

This master's thesis present the procedure of recursive or on-line identification method with MATLAB® software and numerical simulation. This procedure can be used for identifying nonstationary signal, where the model is then "updated" at each time instant some new data become availa...

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Main Author: Handayani, Lucky
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/1943
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:1943
spelling id-itb.:19432004-11-09T13:45:24ZPENGEMBANGAN TEKNIK IDENTIFIKASI RECURSIVE (ON-LINE IDENTIFICATION) UNTUK KASUS ARMAX (AUTOREGRESSIVE MOVING AVERAGE MODEL WITH EXOGENUOS INPUT) Handayani, Lucky Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/1943 This master's thesis present the procedure of recursive or on-line identification method with MATLAB® software and numerical simulation. This procedure can be used for identifying nonstationary signal, where the model is then "updated" at each time instant some new data become available. The on-line method give estimates recursively as measurement if the process is time varying. From the simulation result, this procedure can identify parameter canging on the system. But this procedure must be test on the real measurement or the real data. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description This master's thesis present the procedure of recursive or on-line identification method with MATLAB® software and numerical simulation. This procedure can be used for identifying nonstationary signal, where the model is then "updated" at each time instant some new data become available. The on-line method give estimates recursively as measurement if the process is time varying. From the simulation result, this procedure can identify parameter canging on the system. But this procedure must be test on the real measurement or the real data.
format Theses
author Handayani, Lucky
spellingShingle Handayani, Lucky
PENGEMBANGAN TEKNIK IDENTIFIKASI RECURSIVE (ON-LINE IDENTIFICATION) UNTUK KASUS ARMAX (AUTOREGRESSIVE MOVING AVERAGE MODEL WITH EXOGENUOS INPUT)
author_facet Handayani, Lucky
author_sort Handayani, Lucky
title PENGEMBANGAN TEKNIK IDENTIFIKASI RECURSIVE (ON-LINE IDENTIFICATION) UNTUK KASUS ARMAX (AUTOREGRESSIVE MOVING AVERAGE MODEL WITH EXOGENUOS INPUT)
title_short PENGEMBANGAN TEKNIK IDENTIFIKASI RECURSIVE (ON-LINE IDENTIFICATION) UNTUK KASUS ARMAX (AUTOREGRESSIVE MOVING AVERAGE MODEL WITH EXOGENUOS INPUT)
title_full PENGEMBANGAN TEKNIK IDENTIFIKASI RECURSIVE (ON-LINE IDENTIFICATION) UNTUK KASUS ARMAX (AUTOREGRESSIVE MOVING AVERAGE MODEL WITH EXOGENUOS INPUT)
title_fullStr PENGEMBANGAN TEKNIK IDENTIFIKASI RECURSIVE (ON-LINE IDENTIFICATION) UNTUK KASUS ARMAX (AUTOREGRESSIVE MOVING AVERAGE MODEL WITH EXOGENUOS INPUT)
title_full_unstemmed PENGEMBANGAN TEKNIK IDENTIFIKASI RECURSIVE (ON-LINE IDENTIFICATION) UNTUK KASUS ARMAX (AUTOREGRESSIVE MOVING AVERAGE MODEL WITH EXOGENUOS INPUT)
title_sort pengembangan teknik identifikasi recursive (on-line identification) untuk kasus armax (autoregressive moving average model with exogenuos input)
url https://digilib.itb.ac.id/gdl/view/1943
_version_ 1820663107902504960

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