Lag Synchronization of Delayed Chaotic Systems Using Neural Network-based Sliding-mode Control
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.
Rong Mei Qing-xian Wu Chang-sheng Jiang
Criminal Investigation Department, Nanjing Forest Police College, Nanjing, 210042, China Automation Automation College, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China
国际会议
2010国际混沌、分形理论与应用研讨会(IWCFTA 2010)
昆明
英文
3-7
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）