Title :
Lag Synchronization of Delayed Chaotic Systems Using Neural Network-Based Sliding-Mode Control
Author :
Mei, Rong ; Wu, Qing-xian ; Jiang, Chang-sheng
Author_Institution :
Criminal Investig. Dept., Nanjing Forest Police Coll., Nanjing, China
Abstract :
In this paper, the sliding-mode lag synchronization control scheme is proposed based on the neural network to synchronize two different delayed chaotic systems. An integral delayed sliding surface is presented to design the sliding mode control. The lag synchronization controller is achieved by combining the RBF (radial basis function) neural network with sliding-mode control. Numerical simulations are presented to demonstrate the effectiveness of the proposed sliding-mode lag synchronization control scheme.
Keywords :
control system synthesis; delays; neurocontrollers; nonlinear control systems; numerical analysis; radial basis function networks; synchronisation; variable structure systems; RBF neural network; delayed chaotic system; integral delayed sliding surface; lag synchronization; numerical simulation; radial basis function; sliding mode control design; Artificial neural networks; Chaotic communication; Fractals; Sliding mode control; Solitons; Synchronization; delayed chaotic systems; neural network; sliding-mode control; synchronization control;
Conference_Titel :
Chaos-Fractals Theories and Applications (IWCFTA), 2010 International Workshop on
Conference_Location :
Kunming, Yunnan
Print_ISBN :
978-1-4244-8815-5
DOI :
10.1109/IWCFTA.2010.95
