记忆电阻器
数学
四元数
控制理论(社会学)
人工神经网络
同步(交流)
模糊逻辑
模糊控制系统
控制(管理)
人工智能
拓扑(电路)
计算机科学
工程类
电子工程
几何学
组合数学
作者
Ningning Zhao,Yuanhua Qiao,Chuanqing Xu
标识
DOI:10.1016/j.fss.2024.108940
摘要
A model of memristor-based quaternion-valued fuzzy neural networks (MQVFNNs) with delayed impulses and time-varying delays is established, and the synchronization issue is investigated in this paper. Firstly, to avoid non-commutativity, the MQVFNNs are decomposed into real-valued delayed impulsive neural networks. Secondly, a novel lemma for delayed impulsive system is introduced based on Halanay differential inequality. Then, by employing the theory of differential inclusion and the proposed lemma, some sufficient conditions are deduced to guarantee the global exponential synchronization of memristive quaternion-valued fuzzy neural networks under a simple delayed nonlinear control scheme. Finally, a numerical simulation is given to demonstrate the effectiveness of our theoretical results.
科研通智能强力驱动
Strongly Powered by AbleSci AI