Fuzzy model reference control with adaptation of input fuzzy sets

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00208316" target="_blank" >RIV/68407700:21230/13:00208316 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.knosys.2013.05.004" target="_blank" >http://dx.doi.org/10.1016/j.knosys.2013.05.004</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.knosys.2013.05.004" target="_blank" >10.1016/j.knosys.2013.05.004</a>

Result language
angličtina
Original language name
Fuzzy model reference control with adaptation of input fuzzy sets
Original language description
An improved adaptation mechanism to fuzzy model reference learning control (FMRLC) will be introduced in this paper. The main idea of the presented approach consists in including the controller input fuzzy sets into the adaptation process. In comparisonwith other FMRLC modifications the proposed method can be started with smaller number of input membership functions resulting in better reference signal tracking. Performance of the proposed procedure is demonstrated on control of a nonlinear laboratorysystem.
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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Project
<a href="/en/project/GAP103%2F12%2F1187" target="_blank" >GAP103/12/1187: Identification of Stochastic, Nonlinear Systems for Advanced Control</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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