控制理论(社会学)
四元数
同步(交流)
李雅普诺夫函数
计算机科学
符号函数
人工神经网络
控制器(灌溉)
符号(数学)
控制(管理)
数学
人工智能
非线性系统
生物
数学分析
频道(广播)
物理
量子力学
计算机网络
农学
几何学
作者
Tao Peng,Yanqiu Wu,Zhengwen Tu,A. S. Alofi,Jianquan Lu
标识
DOI:10.1016/j.neunet.2022.12.014
摘要
A control strategy containing Lyapunov functions is proposed in this paper. Based on this strategy, the fixed-time synchronization of a time-delay quaternion-valued neural network (QVNN) is analyzed. This strategy is extended to the prescribed-time synchronization of the QVNN. Furthermore, an improved two-step switching control strategy is also proposed based on this flexible control strategy. Compared with some existing methods, the main method of this paper is a non-decomposition one, does not contain a sign function in the controller, and has better synchronization accuracy. Two numerical examples verify the above advantages.
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