Recursive Estimation Algorithms in Matlab & Simulink Development Environment

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F14%3A43872110" target="_blank" >RIV/70883521:28140/14:43872110 - isvavai.cz</a>
Result on the web
<a href="http://www.wseas.org/multimedia/journals/computers/2014/a025705-085.pdf" target="_blank" >http://www.wseas.org/multimedia/journals/computers/2014/a025705-085.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Recursive Estimation Algorithms in Matlab & Simulink Development Environment
Original language description
The article deals with recursive estimation algorithms realized in Matlab&Simulink development environment. These algorithms are realized as a blocks in simple SIMULINK library. Proposed library can be used for recursive parameter estimation of linear dynamic models ARX, ARMAX and OE. The library implements several recursive estimation methods: Least Squares Method, Recursive Leaky Incremental Estimation, Damped Least Squares, Adaptive Control with Selective Memory, Instrumental Variable Method, Extended Least Squares Method, Prediction Error Method and Extended Instrumental Variable Method. Several forgetting factor and modification of basic algorithm are taken into consideration in order to cope with tracking the time-variant parameters.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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