TY - JOUR ID - TI - Neuro-Fuzzy Network Based Adaptive Tracking Controller for a Nonlinear System AU - Abdul-Basset A. Al-Hussein عبدالباسط عبدالصمد PY - 2017 VL - 17 IS - 1 SP - 70 EP - 75 JO - Basrah Journal for Engineering Sciences مجلة البصرة للعلوم الهندسية SN - 18146120 23118385 AB - In this paper, a neuro-fuzzy network-based adaptivetracking controller is suggested for controlling a type ofnonlinear system. Where two neuro-fuzzy networks have beenused to learn the system dynamics uncertainty bounds by usingLyapunov method. Then the output of these two networks isused to build a sliding mode controller. The stability of thecontrol system is proved and stable neuro-fuzzy controllerparameters adjustment laws are selected using Lyapunovtheory. The simulation case study shows that the controlled systemtracking the reference model effectively with smooth controleffort and robust performance has been achieved

ER -