Recursive Identification Algorithms Library in Matlab & Simulink

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508898" target="_blank" >RIV/70883521:28140/10:63508898 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Recursive Identification Algorithms Library in Matlab & Simulink

Original language description

This paper presents simple SIMULINK library for recursive parameter estimation of linear dynamic models ARX, ARMAX and OE. Several recursive identification methods were implemented in this library: Least Square Method (RLS), Recursive Leaky Incremental Estimation (RLIE), Damped Least Squares (DLS), Adaptive Control with Selective Memory (ACSM), Instrumental Variable Method (RIV), Extended Least Square Method (RELS), Prediction Error Method (RPEM) and Extended Instrumental Variable Method (ERIV). To copewith tracking the time-variant parameters several forgetting factor and modification of basic algorithm are taken into consideration.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BC - Theory and management systems

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 21st International DAAAM Symposium &quot;Intelligent Manufacturing & Automation: Focus on Interdisciplinary Solutions&quot;

ISBN

978-3-901509-73-5

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

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Publisher name

DAAAM International Vienna

Place of publication

Vienna

Event location

Zadar, Croatia

Event date

Jan 1, 2010

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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