Adaptive exponential synchronization of complex-valued Cohen-Grossberg neural networks with known and unknown parameters

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• 作者：Jin Hu^a ; ^{windyvictor@gmail.com} ; Chunna Zeng^b ; ^{zengchn@163.com}
• 关键词：Complex-valued Cohen&ndash ; Grossberg neural networks ; Exponential synchronization ; Adaptive control
• 刊名：Neural Networks
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：86
• 期：Complete
• 页码：90-101
• 全文大小：658 K
• 卷排序：86

文摘

The complex-valued Cohen–Grossberg neural network is a special kind of complex-valued neural network. In this paper, the synchronization problem of a class of complex-valued Cohen–Grossberg neural networks with known and unknown parameters is investigated. By using Lyapunov functionals and the adaptive control method based on parameter identification, some adaptive feedback schemes are proposed to achieve synchronization exponentially between the drive and response systems. The results obtained in this paper have extended and improved some previous works on adaptive synchronization of Cohen–Grossberg neural networks. Finally, two numerical examples are given to demonstrate the effectiveness of the theoretical results.