2010
DOI: 10.1016/j.amc.2010.09.055
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Synchronization of singular complex dynamical networks with time-varying delays

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Cited by 39 publications
(25 citation statements)
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“…But, by using Theorem 1 in this paper, we can obtain the larger delay bound d m ¼ 3:472. From Table 2, it is clear that Theorem 1 in this paper is less conservative than [4,6].…”
Section: Numerical Examplementioning
confidence: 79%
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“…But, by using Theorem 1 in this paper, we can obtain the larger delay bound d m ¼ 3:472. From Table 2, it is clear that Theorem 1 in this paper is less conservative than [4,6].…”
Section: Numerical Examplementioning
confidence: 79%
“…For the sake of simplification, we consider a 5-node singular complex neural networks (1) with the following parameters: Remark 8. For the case of constant delay, that is to say _ dðtÞ ¼ 0, by applying the result in [4,6] to this system, when coupled strength c¼ 0.1, the maximum allowable delay bound d m ¼ 2:173. But, by using Theorem 1 in this paper, we can obtain the larger delay bound d m ¼ 3:472.…”
Section: Numerical Examplementioning
confidence: 99%
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“…Remark 11: As discussed in Remarks [5] & [10], the criteria existing in (Cao and Li, (2009);Yang and Cao, (2010) ;Yu, Cao and Lu, (2008) ;Yang, Cao and Lu, (2013)) failed with the underlying examples. Koo, Ji and Won, (2010), considered the problem of delay dependent synchronization of singular complex dynamical networks with time-varying delays. Ji, Park, Yoo, Won and Lee, (2010), discussed the synchronization problem for a class of complex dynamical networks in which every identical node is a Lur'e system with time-varying delay.…”
Section: Numerical Examplesmentioning
confidence: 99%