2012
DOI: 10.1109/tnnls.2011.2179312
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Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategy

Abstract: Abstract-In this paper, a new control strategy is proposed for the synchronization of stochastic dynamical networks with nonlinear coupling. Pinning state feedback controllers have been proved to be effective for synchronization control of statecoupled dynamical networks. We will show that pinning impulsive controllers are also effective for synchronization control of the above mentioned dynamical networks. Some generic mean square stability criteria are derived in terms of algebraic conditions, which guarante… Show more

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Cited by 382 publications
(17 citation statements)
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“…The overall impulsiveness score is determined by summing all items, with higher scores denoting greater impulsivity. In the present study, the Chinese version of the BIS-11 was used (Lu et al, 2012), and Cronbach’s alpha coefficient was 0.91.…”
Section: Methodsmentioning
confidence: 99%
“…The overall impulsiveness score is determined by summing all items, with higher scores denoting greater impulsivity. In the present study, the Chinese version of the BIS-11 was used (Lu et al, 2012), and Cronbach’s alpha coefficient was 0.91.…”
Section: Methodsmentioning
confidence: 99%
“…Whatever the N0$$ {N}_0 $$. In contrast to the results in References 26,33,35, the increasing N0$$ {N}_0 $$ may destroy synchronization. Therefore, it seems essential and valuable to take N0$$ {N}_0 $$ into full consideration.…”
Section: Resultsmentioning
confidence: 69%
“…In contrast, the elasticity coefficient cannot affect the synchronization of the delay‐free neural network, regardless of its value. In stark contrast to these results, 26,33 the synchronization of coupled neural networks with large delays may be influenced by the large elasticity coefficient. Of particular importance and value is the consideration of the elasticity coefficient.…”
Section: Introductionmentioning
confidence: 67%
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