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Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-14384-y
Abstract: Various social, financial, biological and technological systems can be modeled by interdependent networks. It has been assumed that in order to remain functional, nodes in one network must receive the support from nodes belonging to…
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Keywords:
supply;
multiple supply;
failures interdependent;
networks multiple ... See more keywords
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Published in 2021 at "Chaos"
DOI: 10.1063/5.0064791
Abstract: Due to wide applications in diverse fields, random walks subject to stochastic resetting have attracted considerable attention in the last decade. In this paper, we study discrete-time random walks on complex networks with multiple resetting…
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Keywords:
multiple resetting;
resetting nodes;
networks multiple;
walks complex ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3182702
Abstract: This brief discusses the output synchronization problem for coupled neural networks with multiple delayed output couplings (CNNMDOCs). On one hand, by utilizing adaptive state feedback controller and coupling weight adjustment strategy, an output synchronization criterion…
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Keywords:
output synchronization;
neural networks;
coupled neural;
output ... See more keywords
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Published in 2022 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3164833
Abstract: This paper focuses on the distributed filtering and fault estimation problems for a class of complex networks, where the communications between filters at different nodes are subject to dynamic event-triggered (DET) transmissions. A filter is…
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Keywords:
event triggered;
complex networks;
networks multiple;
distributed filtering ... See more keywords
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Published in 2018 at "Modern Physics Letters B"
DOI: 10.1142/s0217984918500288
Abstract: Proportional delay is a class of unbounded time-varying delay. A class of bidirectional associative memory (BAM) memristive neural networks with multiple proportional delays is concerned in this paper. First, we propose the model of BAM…
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Keywords:
neural networks;
networks multiple;
memristive neural;
multiple proportional ... See more keywords