Aqueous-Humor
发表于 2025-3-23 12:27:37
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Hyperopia
发表于 2025-3-23 15:34:31
https://doi.org/10.1007/978-3-322-88615-6ained for different CDNs . In , the authors considered the finite-time synchronization problem for complex dynamical network with non-derivative and derivative coupling. Xu et al. investigated Markovian jump complex networks with generally uncertain transition rates. By m
intoxicate
发表于 2025-3-23 20:30:56
https://doi.org/10.1007/978-3-322-88615-6derived to guarantee output synchronization for different complex network models . In , the authors took the output synchronization into consideration for an impulsive complex delayed dynamical network, and some criteria were acquired to ensure global exponential output synchronization of
Lipoprotein
发表于 2025-3-24 01:48:55
https://doi.org/10.1007/978-3-7091-4805-1cellular networks, World Wide Web, metabolic systems, disease transmission networks, and so on. Therefore, the analysis and control of dynamical behaviors in CDNs have received considerable attention in recent years.
等待
发表于 2025-3-24 05:16:00
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敌手
发表于 2025-3-24 06:51:52
Book 2019rch ideas and a number of definitions in complex dynamical networks, such as H-Infinity output synchronization, adaptive coupling weights, multiple weights, the relationship between output strict passivity and output synchronization. Furthermore, it methodically edits the research results previously
共同给与
发表于 2025-3-24 13:23:58
Herzmuskelphysiologische Grundlagen, method. In [.], Chen et al. discussed the mean-square global exponential stability for delayed recurrent neural networks with Markovian switching. Wei et al. [.] considered the impulsive stabilization of neural networks with discrete time-varying delays and unbounded continuously distributed delays.
ESO
发表于 2025-3-24 18:09:03
Output Synchronization in CNNs With and Without External Disturbances, method. In [.], Chen et al. discussed the mean-square global exponential stability for delayed recurrent neural networks with Markovian switching. Wei et al. [.] considered the impulsive stabilization of neural networks with discrete time-varying delays and unbounded continuously distributed delays.
碎片
发表于 2025-3-24 22:29:43
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尖牙
发表于 2025-3-25 01:07:00
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