2013
DOI: 10.1016/j.cnsns.2013.03.021
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Exponential synchronization of stochastic perturbed complex networks with time-varying delays via periodically intermittent pinning

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Cited by 59 publications
(37 citation statements)
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“…In the real world, the periodically intermittent control has been used for a variety of purposes such as communication manufacturing and transportation. Over the past few decades, stability and synchronization of neural networks via intermittent control have been carried out [22][23][24][25]. In [22], exponential stability was studied using memristor-based chaotic neural networks with time-varying delays via intermittent control.…”
Section: Introductionmentioning
confidence: 99%
“…In the real world, the periodically intermittent control has been used for a variety of purposes such as communication manufacturing and transportation. Over the past few decades, stability and synchronization of neural networks via intermittent control have been carried out [22][23][24][25]. In [22], exponential stability was studied using memristor-based chaotic neural networks with time-varying delays via intermittent control.…”
Section: Introductionmentioning
confidence: 99%
“…Almost all of the well-known chaotic systems belong to the function class QUAD, such as the Lorenz system, the Rössler system, the Chen system, the delayed Chua's circuit, the delayed Hopfield neural network and the logistic delayed differential system [21,23]. Lemma 1.…”
Section: Some Definitions Lemmas and Assumptionsmentioning
confidence: 99%
“…The assumptions are common in the literature on stochastic complex networks with time-varying delay, such as [21,23,27,[38][39][40]. Assumption H1 restricts the time delay, and Assumption H2 restricts the noise strength.…”
Section: Some Definitions Lemmas and Assumptionsmentioning
confidence: 99%
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“…Several control schemes, such as adaptive, impulsive, and pinning control, have been reported [7][8][9][10]. Scholars have used various methods to study asymptotical synchronization, exponential synchronization, passivity synchronization, and ∞ synchronization, for different complex networks, and have achieved fruitful results [11][12][13][14][15][16][17][18][19][20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%