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Structure of higher order Boolean networks

  • LI Zhi-Qiang ,
  • ZHAO Yin ,
  • CHENG Dai-Zhan
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  • 1. Department of Mathematics and Information Science, Henan University of Economics and Law, Zhengzhou 450002, China;
    2. Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciances, Beijing 100190, China

Received date: 2010-08-03

  Revised date: 2010-09-27

  Online published: 2011-07-15

Supported by

Supported by National Natural Science Foundation of China(60674022, 60736022, 60821091)

Abstract

The higher order Boolean (control) network is introduced and its topological structure is studied. Using semi-tensor product of matrices, its dynamics is converted into two algebraic forms, which are standard discrete-time dynamic systems. The one-to-one correspondence of the network dynamics and its first algebraic form is proved, and certain topological structures, including fixed points, cycles, and transient time, of higher order Boolean (control) networks are revealed. The relationship between the original system and its second algebraic form is also studied.

Cite this article

LI Zhi-Qiang , ZHAO Yin , CHENG Dai-Zhan . Structure of higher order Boolean networks[J]. Journal of University of Chinese Academy of Sciences, 2011 , 28(4) : 431 -447 . DOI: 10.7523/j.issn.2095-6134.2011.4.003

References


[1] Kauffman S A. Metabolic stability and epigenesis in randomly constructed genetic nets
[J]. J Theoretical Biology, 1969, 22:437-467.

[2] Harris S E, Sawhill B K, Wuensche A, et al. A model of transcriptional regulatory networks based on biases in the observed regulation rules
[J]. Complexity, 2002, 7: 23-40.

[3] Aldana M. Boolean dynamics of networks with scale-free topology
[J]. Physica D, 2003, 185:45-66.

[4] Drossel B, Mihaljev T, Greil F. Number and length of attractors in a critical kauffman moel with connectivity one
[J]. Phys Rev Lett, 2005, 94:088701.

[5] Kauffman S A. The origins of order
[M]. New York: Oxford Univ Press, 1993.

[6] Akutsu T, Hayashida M, Ching W K, et al. Control of Boolean networks: Hardness results and algorithms for tree structured networks
[J]. J Theoretical Biology, 2007, 244:670-679.

[7] Cheng D, Qi H. A linear representation of dynamics of Boolean networks
[J]. IEEE Trans Aut Contr, 2010, 55(10):2251-2258.

[8] Cheng D. Input-state approach to Boolean networks
[J]. IEEE Trans Neural Network, 2009, 20(3):512-521.

[9] Cheng D, Qi H. Controllability and observability of Boolean control networks
[J]. Automatica, 2009, 45(7):1659-1667.

[10] Cheng D, Li Z, Qi H. Realization of Boolean control networks
[J]. Automatica, 2010, 46(1):62-69.

[11] Cheng D, Liu J. Stabilization of Boolean control networks //Proc CDC-CCC'09. Shanghai, 2009:5269-5274.

[12] Cheng D, Li Z, Qi H. Canalyzing Boolean mapping and its application to disturbance decoupling of Boolean control networks //Proc of ICCA09. Christchurch, New Zealand, 2009:7-12.

[13] Goodwin B C. Temporal organization in cells
[M]. New York: Academic, 1963.

[14] Gibbons R. A Promer in game thoery
[M]. London: Prentice Hall, 1992.

[15] Miller J H. The coevolution of automata in the repeated prisoner’s dilemma
[J]. J Economic Behavior & Organization, 1994, 29:87-112.

[16] Mu Y, Guo L. Optimization and identification in a non-equilibrium dynamic game //Proc CDC-CCC'09. Shanghai, 2009: 5750-5755.

[17] De Luca A. On some dynamical properties of linear and affine networks
[J]. Kybernetic, 1971, 8(4):123-127.

[18] Heidel J, Maloney J, Farrow J, et al. Finding cycles in synchronous Boolean networks with applications to biochemical systems
[J]. Int J Bifurcat Chaos, 2003, 13(3):535-552.

[19] Cheng D, Qi H. Semi-tensor product of matrix ——theory and applications
[M]. Beijing: Science Press, 2007.

[20] Cheng D. Semi-tensor product of matrices and its applications——A survey //ICCM 2007. 2007, 3:641-668.

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