• SYNCHRONIZATION T-CHAOTIC SYSTEM

    Machines. Technologies. Materials., Vol. 10 (2016), Issue 7, pg(s) 37-41

    In this paper, we study on chaos, one of the most important phenomenons based on complex nonlinear dynamics. We will focus on T-system chaos and in continue, using three synchronization methods, Brain Emotional Learning Based Intelligent Controller (BELBIC), Generalized Backstepping Method (GBM) and adaptive method, the chaotic system will be synchronized. To prove usability of the controllers, the results will be compared with the results obtained by Active Control and Backstepping Controllers. According to the results, proposed controllers synchronize chaotic systems with higher speed, lower setting time, lower overshoot and smaller control signal versus active control and backstepping controllers.

  • SYNCHRONIZATION T-CHAOTIC SYSTEM

    Innovations in Discrete Productions, Vol. 4 (2016), Issue 1, pg(s) 15-19

    In this paper, we study on chaos, one of the most important phenomenons based on complex nonlinear dynamics. We will focus on T-system chaos and in continue, using three synchronization methods, Brain Emotional Learning Based Intelligent Controller (BELBIC), Generalized Backstepping Method (GBM) and adaptive method, the chaotic system will be synchronized. To prove usability of the controllers, the results will be compared with the results obtained by Active Control and Backstepping Controllers. According to the results, proposed controllers synchronize chaotic systems with higher speed, lower setting time, lower overshoot and smaller control signal versus active control and backstepping controllers.