Titlebook: Analysis and Control of Output Synchronization for Complex Dynamical Networks; Jin-Liang Wang,Huai-Ning Wu,Shun-Yan Ren Book 2019 Springer

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https://doi.org/10.1007/978-3-322-88615-6ained for different CDNs [88, 92, 169–181]. In [170], the authors considered the finite-time synchronization problem for complex dynamical network with non-derivative and derivative coupling. Xu et al. [172] investigated Markovian jump complex networks with generally uncertain transition rates. By m

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https://doi.org/10.1007/978-3-322-88615-6derived to guarantee output synchronization for different complex network models [24–38]. In [26], 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

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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.

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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

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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.

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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.

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