Finite-time anti-synchronization and fixed-time quasi-anti-synchronization for complex-valued neural networks with time-varying delay and application
Author:
Funder
Key Technologies Research and Development Program
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08474-4.pdf
Reference51 articles.
1. Wei X, Zhang Z, Zhong M, Liu M, Wang Z (2019) Anti-synchronization for complex-valued bidirectional associative memory neural networks with time-varying delays. IEEE Access 7:97536–97548
2. Wang W, Yuan M, Luo X, Liu L, Zhang Y (2018) Anti-synchronization control of bam Memristive neural networks with multiple proportional delays and stochastic perturbations. Modern Phys Lett B 32(03):1850028
3. Zhang S, Yu Y, Wang H (2015) Mittag-Leffler stability of fractional-order Hopfield neural networks. Nonlinear Anal: Hybrid Syst 16:104–121
4. Zhou Y, Li C, Huang T, Wang X (2017) Impulsive stabilization and synchronization of Hopfield-type neural networks with impulse time window. Neural Comput Appl 28(4):775–782
5. Hui M, Luo N, Iu HH-C, Wu Q, Yao R, Bai L (2020) Pinning synchronization via intermittent control for memristive Cohen–Grossberg neural networks with mixed delays. IEEE Access 8:55676–55687
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