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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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