<?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%">A. SAIDI, F. NACERI, S. VAIDYANATHAN</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A new robust adaptive fuzzy synergetic control fornonlinear systems with an application to an invertedpendulum</style></title><secondary-title><style face="normal" font="default" size="100%">Int. J. Modelling, Identification and Control</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><volume><style face="normal" font="default" size="100%">33</style></volume><pages><style face="normal" font="default" size="100%">89-96</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper deals with a nonlinear adaptive control design based on synergetic control,&lt;br&gt;which also uses fuzzy systems to approximate the dynamics of nonlinear systems. The stability of&lt;br&gt;the closed-loop system is ensured by the Lyapunov synthesis in the sense that all the signals are&lt;br&gt;bounded, and the controller parameters adjusted by adaptation laws. The proposed algorithm is&lt;br&gt;applied to an inverted pendulum to track a sinusoidal reference trajectory. Simulations and&lt;br&gt;discussion are presented to illustrate the new robust adaptive fuzzy synergetic control described&lt;br&gt;in this work.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue></record></records></xml>