<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">A. Saidi</style></author><author><style face="normal" font="default" size="100%">Youb, Lamia</style></author><author><style face="normal" font="default" size="100%">Naceri, Farid</style></author><author><style face="normal" font="default" size="100%">Sebti Belkacem</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Fuzzy Adaptive Control of Doubly Fed Induction Machine (DFIM)</style></title><secondary-title><style face="normal" font="default" size="100%">3rd International Conference on Measurement Instrumentation and Electronics (ICMIE 2018)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.matec-conferences.org/articles/matecconf/abs/2018/67/matecconf_icmie2018_03008/matecconf_icmie2018_03008.html</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	In this paper, we are interested in the adaptive fuzzy control a technique has been studied and applied, namely adaptive fuzzy control based on theory of Lyapunov. The system based on the stability theory is used to approximate the gains Ke and kdce to ensure the stability of the control in real time .the simulations results obtained by using Matlab environment gives that the fuzzy adaptive control more robust, also it has superior dynamics performances. The results and test of robustness will be presented.
&lt;/p&gt;
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