四元数
数学
控制器(灌溉)
拉普拉斯变换
非线性系统
简单(哲学)
同步(交流)
应用数学
分数阶微积分
控制理论(社会学)
劈形算符
订单(交换)
纯数学
计算机科学
数学分析
拓扑(电路)
控制(管理)
组合数学
人工智能
哲学
物理
几何学
认识论
量子力学
农学
欧米茄
生物
财务
经济
作者
Hongli Li,Jinde Cao,Cheng Hu,Haijun Jiang,Fawaz E. Alsaadi
出处
期刊:IEEE transactions on neural networks and learning systems
[Institute of Electrical and Electronics Engineers]
日期:2023-05-25
卷期号:: 1-12
被引量:28
标识
DOI:10.1109/tnnls.2023.3274959
摘要
This article studies synchronization issues for a class of discrete-time fractional-order quaternion-valued uncertain neural networks (DFQUNNs) using nonseparation method. First, based on the theory of discrete-time fractional calculus and quaternion properties, two equalities on the nabla Laplace transform and nabla sum are strictly proved, whereafter three Caputo difference inequalities are rigorously demonstrated. Next, based on our established inequalities and equalities, some simple and verifiable quasi-synchronization criteria are derived under the quaternion-valued nonlinear controller, and complete synchronization is achieved using quaternion-valued adaptive controller. Finally, numerical simulations are presented to substantiate the validity of derived results.
科研通智能强力驱动
Strongly Powered by AbleSci AI