<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Abderazak, Saidi</style></author><author><style face="normal" font="default" size="100%">Farid, Naceri</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Speed Control of a doubly fed induction Machine Based on Fuzzy Adaptive, ISSN / e-ISSN 1758-3657 / 1758-8723</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal Intelligent Engineering Informatics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.inderscience.com/info/inarticle.php?artid=97551</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">volume 7</style></volume><pages><style face="normal" font="default" size="100%">pp.61 - 76</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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&amp;nbsp;ke&amp;nbsp;and&amp;nbsp;kdce&amp;nbsp;to ensure the stability of the control in particular time, 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.</style></abstract><issue><style face="normal" font="default" size="100%">N°1 </style></issue></record></records></xml>