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Journal Article

Asymptotic Stability of Boolean Networks With Multiple Missing Data


Huang,  Chi
External Organizations;

Wang,  Wei
External Organizations;

Lu,  Jianquan
External Organizations;


Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

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Huang, C., Wang, W., Lu, J., Kurths, J. (2021): Asymptotic Stability of Boolean Networks With Multiple Missing Data. - IEEE Transactions on Automatic Control, 66, 12, 6093-6099.

Cite as: https://publications.pik-potsdam.de/pubman/item/item_26461
In actual network transmission, data loss due to network congestion and power shortage is unavoidable. However, this phenomenon has not been considered in Boolean networks (BNs) analysis so far. The loss of data is usually random, so BNs with missing data are modeled by introducing Bernoulli distribution sequences. A novel augmented system is constructed to deal with the randomly missing data. The initial states of the BNs are supposed to be chosen from the whole space or only part of it, which leads to the global and local stable problems. Some necessary and sufficient conditions are proposed for both problems. Two algorithms are developed to check the asymptotic stability of BNs. An illustrative example is also given to show the effectiveness of the derived results.