2020
DOI: 10.1049/iet-cta.2020.0046
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Dissipativity of Markovian multiple‐weighted coupled neural networks with dynamic event‐triggered pinning control

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Cited by 6 publications
(12 citation statements)
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“…In recent years, dynamical behaviors of CNMWs have attracted more attention from many scholars, and numerous results on the topics have been obtained [44][45][46][47]. Although [48][49][50][51] discussed LCNNs with multi-weights by using the strategy of triggering event, while multiple coupling matrices considered in the above works are the same or completely symmetric. It is unrealistic that multi-weighted networks are composed of the same and symmetric matrices in more actual networks.…”
Section: Lemma 31 ([59]) Consider the Following Stochastic Differenti...mentioning
confidence: 99%
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“…In recent years, dynamical behaviors of CNMWs have attracted more attention from many scholars, and numerous results on the topics have been obtained [44][45][46][47]. Although [48][49][50][51] discussed LCNNs with multi-weights by using the strategy of triggering event, while multiple coupling matrices considered in the above works are the same or completely symmetric. It is unrealistic that multi-weighted networks are composed of the same and symmetric matrices in more actual networks.…”
Section: Lemma 31 ([59]) Consider the Following Stochastic Differenti...mentioning
confidence: 99%
“…Compared with event-triggered synchronization results for CNs in [21][22][23][24][25], we study event-triggered  ∞ synchronization of directed SCSDNNMWs in this essay. What is more, in contrast to event-triggered conditions designed in [48][49][50][51], protocol (3) is constructed firstly based on different and asymmetric coupling matrices with switching form, so the derived synchronization results are more general and less conservative in our present work. Owing to the introduction of multi-weighted term, switched coupling, and stochastic disturbance term in our proposed model, the problem of event-triggered  ∞ synchronization for the network (1) in our paper becomes more complicated, which is difficult to solve through exploiting a few existing techniques with triggering event for LCNNs with single weight or fixed coupling, or without stochastic disturbance.…”
Section: Lemma 31 ([59]) Consider the Following Stochastic Differenti...mentioning
confidence: 99%
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“…[10] investigated the synchronization for a network with multiple time delays. More study of synchronization for CNMWs including: fractional-order CNMWs in [11], finite-time synchronization in [12] and [13], pinning control in [14] and [15], eventtriggered control in [16] and [17], etc.…”
Section: Introductionmentioning
confidence: 99%