摘要
研究了具有变时滞的复值神经网络的有限时间同步问题.在一些合理的假设下,基于状态反馈原理和稳定性理论提出了新的控制协议.通过运用新的同步方法得到一些充分条件来保证具有时滞的复值神经网络能在有限时间内同步.
This paper mainly studies the issues of finite-time synchronization for complex-valued neural networks with time-varying delays. Based on some reasonable assumptions,state feedback theory and stability theory,a new control protocol is proposed. By using a new synchronized method,some sufficient conditions are derived to ensure that the complex-valued neural networks with time-varying delays can realize synchronization in finite time.
作者
周超
ZHOU Chao(School of Mathematical Sciences, Chongqing Normal University, Chongqing 401331, China)
出处
《湖北民族学院学报（自然科学版）》
CAS
2017年第2期125-130,共6页
Journal of Hubei Minzu University(Natural Science Edition)
基金
国家自然科学基金项目(61263020)
关键词
时滞
复值
神经网络
有限时间
同步
delays
complex-valued
neural networks
finite time
synchronization
