2018
DOI: 10.1080/00207721.2017.1422814
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A study on ⟨(Q,S,R)-γ⟩-dissipative synchronisation of coupled reaction–diffusion neural networks with time-varying delays

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Cited by 12 publications
(7 citation statements)
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“…Remark 23. Compared with the recent results of synchronization problems for complex networks such as [8,10,16], the effectiveness of this paper can be reflected by synchronization dynamics analysis ideas of the addressed complex networks. From the analysis of Remarks 15-19, it is seen that the effect of nonlinear coupling function for synchronization dynamics is not only related to nonlinearity of nonlinear coupling function, but also connected with coupled matrix, synchronization state, and the initial state of the considered system.…”
Section: Corollary 21mentioning
confidence: 91%
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“…Remark 23. Compared with the recent results of synchronization problems for complex networks such as [8,10,16], the effectiveness of this paper can be reflected by synchronization dynamics analysis ideas of the addressed complex networks. From the analysis of Remarks 15-19, it is seen that the effect of nonlinear coupling function for synchronization dynamics is not only related to nonlinearity of nonlinear coupling function, but also connected with coupled matrix, synchronization state, and the initial state of the considered system.…”
Section: Corollary 21mentioning
confidence: 91%
“…From the analysis of Remarks 15-19, it is seen that the effect of nonlinear coupling function for synchronization dynamics is not only related to nonlinearity of nonlinear coupling function, but also connected with coupled matrix, synchronization state, and the initial state of the considered system. Although some feasible synchronization results of complex networks were derived in [8,10,16], these papers mainly focused on how to obtain sufficient conditions of synchronization problems. Besides this, according to introduction of this paper, it is observed that the literature [4] only used simulation method to analyze how nonlinear coupling function impacts synchronization dynamics of the proposed complex networks.…”
Section: Corollary 21mentioning
confidence: 99%
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