Comparison of Offline Identification Methods on Bounded AutoRegressive Polynomial Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU108750" target="_blank" >RIV/00216305:26220/14:PU108750 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of Offline Identification Methods on Bounded AutoRegressive Polynomial Models
Original language description
In this paper we focused on methods for offline identification of bounded autoregressive polynomials models. Firstly we used classical least square (LS) method for identification. Secondly we used total least square (TLS) method and thirdly we used gradient based method Levenberg-Marquardt for identification. Bounded AR polynomial models are basically nonlinear in parameters but the models can be modified to linear dependencies on parameters if bounding function is irreversible. Levenberg-Marquardt method was applied to unmodified bounded AR polynomial models. Input/Output data was generated from the model of isothermal continuous stirred-tank reactor with and without additive noise. Finally all methods are compared on one-step and multi-step predictions.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
15th International Carpathian Control Conference - ICCC 2014
ISBN
978-1-4799-3527-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
301-305
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Velké Karlovice
Event date
May 28, 2014
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000359794600059