2014
DOI: 10.1002/cplx.21597
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Asymptotic synchronization of continuous/discrete complex dynamical networks by optimal partitioning method

Abstract: The synchronization problem for both continuous and discrete‐time complex dynamical networks with time‐varying delays is investigated. Using optimal partitioning method, time‐varying delays are partitioned into l subintervals and generalized results are derived in terms of linear matrix inequalities (LMIs). New delay‐dependent synchronization criteria in terms of LMIs are derived by constructing appropriate Lyapunov–Krasovskii functional, reciprocally convex combination technique and some inequality techniques… Show more

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Cited by 12 publications
(6 citation statements)
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“…Delay-dependent robust exponential admissible criterion for system (39) is derived in the following Theorem.…”
Section: Robust Stability Criteria For Swithced Non-linear Singular Smentioning
confidence: 99%
See 2 more Smart Citations
“…Delay-dependent robust exponential admissible criterion for system (39) is derived in the following Theorem.…”
Section: Robust Stability Criteria For Swithced Non-linear Singular Smentioning
confidence: 99%
“…For given scalars s 2 > 0, tuning parameter g (0 < g < 1), m and a > 0, the equilibrium point of system (39) is robustly exponentially admissible and for any switching signal r with ADT satisfying T a > T Ã a 5 ln l 1 a ; l 1 ! 1 (40) if there exist symmetric positive-definite matrices P i , Q 1i , Q 2i , Q 3i , R 1i , R 2i , R 3i , real matrices K 1 , K 2 , for any matrix S with appropriate dimension, some known matrices u 1i , u 2i , unknown scalars d i , and the constant matrix R 2 R n3ðn2rÞ satisfying E T i R50 with rank(R) 5 n -r such that the following symmetric LMIs hold:…”
Section: Theorem 41mentioning
confidence: 99%
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“…The synchronization problem for both continuous and discrete‐time complex dynamical networks with time‐varying delays has been investigated in Ref. . Authors in Ref.…”
Section: Introductionmentioning
confidence: 99%
“…It is noted that coupled networks can well describe the dynamical behavior of many real world systems (Gonze 2010;Pastor-Satorras et al 2003;Rakkiyappan and Sasirekha 2014) including biological oscillators. In this aspect, greater efforts have been made to analyze the synchronization phenomena of coupled genetic oscillators (Li et al 2007;Lu et al 2015).…”
Section: Introductionmentioning
confidence: 99%