سال انتشار: ۱۳۹۰

محل انتشار: نوزدهمین کنفرانس مهندسی برق ایران

تعداد صفحات: ۶

نویسنده(ها):

Negin Farzbod – Engineering Department, Imam Khomeini International University of Qazvin, Qazvin
Hassan Zarabadipour – Faculty of Electrical Engineering, Engineering Department, Imam Khomeini International University of Qazvin
Mahdi Aliyari Shoorehdeli – Faculty of Electrical & Computer Engineering, Mechatronics Department, K. N. Toosi University
Faezeh Farivar – Engineering, Mechatronics Department, Science and Research Branch, Islamic Azad University, Tehran

چکیده:

In this study, generalized projective synchronization (GPS) of two identical and nonidentical time-delayed chaotic systems is presented. Sliding adaptive radial basis function neural network control (SARBFNNC) is applied to synchronize two delayed chaotic systems. The advantages of the adaptive control, neural network and sliding mode control theory are combined in the proposed method. The stability of error dynamics is guaranteed with Lyapunov stability theory. Moreover, supposing that the parameters of the chaotic system are unknown, recursive least square (RLS) method is applied to estimate these unknown parameters. The proposed method has not been used for synchronization of time-delayed chaotic systems yet. Simulation results show that the proposed method is suitable and effective for synchronization of time-delayed chaotic systems.