<?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%">Walid, Benaziza</style></author><author><style face="normal" font="default" size="100%">Noureddine, Slimane</style></author><author><style face="normal" font="default" size="100%">Mallem, Ali</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">PD Terminal Sliding Mode Control Using Fuzzy Genetic Algorithm for Mobile Robot in Presence of Disturbances, ISSN / e-ISSN 1897-8649 / 2080-2145</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of automation, Mobile robotics &amp;intelligent systemsJournal of automation, Mobile robotics &amp;intelligent systems</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><number><style face="normal" font="default" size="100%">N°2</style></number><volume><style face="normal" font="default" size="100%">Volume 12</style></volume><pages><style face="normal" font="default" size="100%">pp 52-60</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper presents a new approach in the field of trajectory tracking for nonholonomic mobile robot in presence of disturbances. The proposed control design is constructed by a kinematic controller, based on PD sliding surface using fuzzy sliding mode for the angular and linear velocities disturbances, in order to tend asymptotically the robot posture error to zero. Thereafter a dynamic controller is presented using as a sliding surface design, a fast terminal function (FTF) whose parameters are generated by a genetic algorithm in order to converge the velocity errors to zero in finite time and guarantee the asymptotic stability of the system using a Lyapunov candidate. The elaborated simulation works in the case of different trajectories confirm the robustness of the proposed approach.</style></abstract></record></records></xml>