同步(交流)
人工神经网络
控制理论(社会学)
联轴节(管道)
分数阶微积分
Lyapunov稳定性
理论(学习稳定性)
整数(计算机科学)
计算机科学
订单(交换)
数学
应用数学
拓扑(电路)
控制(管理)
人工智能
机械工程
财务
组合数学
机器学习
工程类
经济
程序设计语言
作者
Peng Liu,Yunliu Li,Junwei Sun,Yanfeng Wang
标识
DOI:10.1007/s00521-022-07752-x
摘要
In this work, the output synchronization of coupled fractional-order neural networks is investigated. Based on the Lyapunov stability theorem and the properties of fractional calculus, sufficient conditions for guaranteeing the output synchronization of coupled fractional-order neural networks with fixed coupling are derived. Moreover, the adaptive strategy with adjusting the coupling weights is introduced, and sufficient conditions are proposed for guaranteeing the output synchronization of fractional-order neural networks with adaptive couplings. In comparison with previous results, the results obtained in this paper are suitable for fractional-order systems, including the output synchronization of integer-order systems as a special case. Two numerical examples are given to verify the validity of the results.
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