期刊
NEURAL PROCESSING LETTERS
卷 49, 期 1, 页码 187-201出版社
SPRINGER
DOI: 10.1007/s11063-018-9805-9
关键词
Complex-valued neural networks; Global exponential synchronization; Matrix measure; Halanay inequality; Time delays
资金
- National Natural Science Foundation of China [11371126]
- High School Outstanding Young Support Plan of Anhui Province [gxyq2014175]
- Natural Science Research Project of Anhui Province [KJ2015A347, KJ2017A704]
- Key Project of Natural Science Research of Bozhou University [BYZ2017B03]
In this paper, global exponential synchronization of a class of complex-valued neural networks with time delays is investigated. Based on Halanay inequality theory, Lyapunov theory and matrix measure method, by separating complex-valued neural networks to the real part and imaginary part, several criteria for the global exponentially synchronization of complex-valued neural networks are presented. Finally, one numerical simulation is given to show the effectiveness of our theoretical results.
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