维数(图论)
算法
人工神经网络
芝诺悖论
同步(交流)
对数
事件(粒子物理)
计算机科学
控制器(灌溉)
拓扑(电路)
数学
人工智能
纯数学
组合数学
数学分析
几何学
物理
生物
量子力学
农学
作者
Binglong Lu,Haijun Jiang,Cheng Hu,Abdujelil Abdurahman,Mei Liu
标识
DOI:10.1016/j.jfranklin.2021.03.007
摘要
By designing a quantized controller based on event trigger, this paper considers the problem of H∞ output synchronization for coupled neural networks with reaction-diffusion term and directed topology. Firstly, in this hybrid control strategy, the data is sampled in time domain to exclude the Zeno-behavior before judging whether an event is triggered, and then the event-triggered data instead of the sampling data itself is quantized by a logarithmic quantizer. Secondly, some sufficient conditions for H∞ output synchronization are obtained, in which the dimension of these conditions can be reduced to only depend on the number of neurons, but not on the number of nodes. Finally, a numerical example is given to verify the theoretical results.
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