四元数
数学
控制理论(社会学)
模糊逻辑
人工神经网络
规范(哲学)
非线性系统
李雅普诺夫函数
控制器(灌溉)
同步(交流)
模糊控制系统
控制(管理)
拓扑(电路)
计算机科学
人工智能
农学
物理
几何学
量子力学
组合数学
政治学
法学
生物
作者
Ruoxia Li,Jinde Cao,Ning Li
标识
DOI:10.1016/j.fss.2023.108701
摘要
In this paper, a general class of delayed fuzzy memristive system described by quaternion parameters is considered. By designing a new Lyapunov function and appropriate feedback controller, sufficient conditions formulated by norm inequality are given to ensure the quasi-synchronization of the quaternion-valued fuzzy memristive neural networks. It should be noted that, there is no systematic method to compare the size of two quaternions, so it is difficult to ensure the existence of the closed convex hull. To do so, a nonlinear scalarization approach is proposed in this paper, which established a generalized comparison method. Numerical example is given to show the effectiveness of our new results.
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