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Journal Article

IEEE Access Special Section Editorial: Recent Advances on Hybrid Complex Networks: Analysis and Control [Editorial]

Authors

Lu,  Jianquan
External Organizations;

Ho,  Daniel W. C.
External Organizations;

Huang,  Tingwen
External Organizations;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

Trajkovic,  Ljiljana
External Organizations;

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Citation

Lu, J., Ho, D. W. C., Huang, T., Kurths, J., Trajkovic, L. (2021): IEEE Access Special Section Editorial: Recent Advances on Hybrid Complex Networks: Analysis and Control [Editorial]. - IEEE Access, 9, 95083-95086.
https://doi.org/10.1109/ACCESS.2021.3087971


Cite as: https://publications.pik-potsdam.de/pubman/item/item_26685
Abstract
Complex networks typically involve multiple disciplines due to network dynamics and their statistical nature. When modeling practical networks, both impulsive effects and logical dynamics have recently attracted increasing attention. Hence, it is of interest and importance to consider hybrid complex networks with impulsive effects and logical dynamics. Relevant research is prevalent in cells, ecology, social systems, and communication engineering. In hybrid complex networks, numerous nodes are coupled through networks and their properties usually lead to complex dynamic behaviors, including discrete and continuous dynamics with finite values of time and state space. Generally, continuous and discrete sections of the systems are described by differential and difference equations, respectively. Logical networks are used to model the systems where time and state space take finite values. Although interesting results have been reported regarding hybrid complex networks, the analysis methods and relevant results could be further improved with respect to conservative impulsive delay inequalities and reproducibility of corresponding stability or synchronization criteria. Therefore, it is necessary to devise effective approaches to improve the analysis method and results dealing with hybrid complex networks.