SCIENCE CHINA Information Sciences, Volume 63 , Issue 6 : 169202(2020) https://doi.org/10.1007/s11432-018-9536-3

Data set approach for solving logical equations

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  • ReceivedMay 24, 2018
  • AcceptedJul 10, 2018
  • PublishedSep 12, 2019


There is no abstract available for this article.


This work was supported by National Natural Science Foundation of China (Grant No. 61773371).


[1] Kauffman S A. Metabolic stability and epigenesis in randomly constructed genetic nets. J Theor Biol, 1969, 22: 437-467 CrossRef Google Scholar

[2] Akutsu T, Miyano S, Kuhara S. Inferring qualitative relations in genetic networks and metabolic pathways. Bioinformatics, 2000, 16: 727-734 CrossRef Google Scholar

[3] Li F. Feedback control design for the complete synchronisation of two coupled Boolean networks. Int J Syst Sci, 2016, 47: 2996-3003 CrossRef Google Scholar

[4] Li H, Zhao G, Meng M. A survey on applications of semi-tensor product method in engineering. Sci China Inf Sci, 2018, 61: 010202 CrossRef Google Scholar

[5] Zhu Q, Liu Y, Lu J. Observability of Boolean control networks. Sci China Inf Sci, 2018, 61: 092201 CrossRef Google Scholar

[6] Cheng D. Semi-tensor product of matrices and its application to Morgan's problem. SCI CHINA Inf Sci, 2001, 44: 195--212. Google Scholar

[7] Cheng D, Qi H. A Linear Representation of Dynamics of Boolean Networks. IEEE Trans Automat Contr, 2010, 55: 2251-2258 CrossRef Google Scholar

[8] Qiao Y, Qi H, Cheng D. Partition-Based Solutions of Static Logical Networks With Applications.. IEEE Trans Neural Netw Learning Syst, 2018, 29: 1252-1262 CrossRef PubMed Google Scholar

[9] Kim K. Boolean Matrix Theory and Applications. New York: Marcel Decker, 1982. Google Scholar