同步(交流)
控制器(灌溉)
控制理论(社会学)
非线性系统
计算机科学
数学
拓扑(电路)
控制(管理)
物理
人工智能
组合数学
农学
量子力学
生物
作者
Malika Sader,Fuyong Wang,Zhongxin Liu,Zengqiang Chen
出处
期刊:International Journal of Nonlinear Sciences and Numerical Simulation
[De Gruyter]
日期:2021-12-06
卷期号:23 (6): 867-878
被引量:2
标识
DOI:10.1515/ijnsns-2020-0037
摘要
Abstract In this paper, the general decay projective synchronization of a class of memristive competitive neural networks with time delay is studied. Firstly, a nonlinear feedback controller is designed, which does not require any knowledge about the activation functions. Then, some new and applicable conditions dependent on the Lyapunov function and the inequality techniques are obtained to guarantee the general decay projective synchronization of the considered systems under the developed controller. Unlike other forms of synchronization, projective synchronization can improve communication security due to the scaling constant’s unpredictability. In addition, the polynomial synchronization, asymptotical synchronization, and exponential synchronization can be seen as the special cases of the general decay projective synchronization. Finally, a numerical example is given to demonstrate the effectiveness of the proposed control scheme.
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