Robust exponential $$H_{\infty }$$ lag synchronization of delayed complex-valued neural networks with discrete-time variant
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Geometry and Topology,Algebra and Number Theory,Analysis
Link
https://link.springer.com/content/pdf/10.1007/s41478-022-00527-6.pdf
Reference38 articles.
1. Zhang, X., X. Lv, and X. Li. 2017. Sampled-data-based lag synchronization of chaotic delayed neural networks with impulsive control. Nonlinear Dynamics 90 (3): 2199–2207.
2. Yuan, M., W. Wang, Z. Wang, X. Luo, and J. Kurths. 2020. Exponential synchronization of delayed memristor-based uncertain complex-valued neural networks for image protection. IEEE Transactions on Neural Networks and Learning Systems 32 (1): 151–165.
3. He, W., T. Luo, Y. Tang, W. Du, Y.C. Tian, and F. Qian. 2019. Secure communication based on quantized synchronization of chaotic neural networks under an event-triggered strategy. IEEE Transactions on Neural Networks and Learning Systems 31 (9): 3334–3345.
4. Zhou, C., W. Zhang, X. Yang, C. Xu, and J. Feng. 2017. Finite-time synchronization of complex-valued neural networks with mixed delays and uncertain perturbations. Neural Processing Letters 46 (1): 271–291.
5. Zhang, G., Y. Shen, and L. Wang. 2013. Global anti-synchronization of a class of chaotic memristive neural networks with time-varying delays. Neural Networks 46: 1–8.
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