中国物理B ›› 2011, Vol. 20 ›› Issue (3): 36401-036401.doi: 10.1088/1674-1056/20/3/036401

• CONDENSED MATTER: STRUCTURAL, MECHANICAL, AND THERMAL PROPERTIES • 上一篇    下一篇

Control of random Boolean networks via average sensitivity of Boolean functions

陈士剑, 洪奕光   

  1. Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
  • 收稿日期:2010-09-24 修回日期:2010-11-29 出版日期:2011-03-15 发布日期:2011-03-15
  • 基金资助:
    Project supported in part by the National Natural Science Foundation of China (Grant Nos. 60874018, 60736022, and 60821091).

Control of random Boolean networks via average sensitivity of Boolean functions

Chen Shi-Jian(陈士剑)a)† and Hong Yi-Guang(洪奕光)a)   

  1. Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2010-09-24 Revised:2010-11-29 Online:2011-03-15 Published:2011-03-15
  • Supported by:
    Project supported in part by the National Natural Science Foundation of China (Grant Nos. 60874018, 60736022, and 60821091).

摘要: In this paper, we discuss how to transform the disordered phase into an ordered phase in random Boolean networks. To increase the effectiveness, a control scheme is proposed, which periodically freezes a fraction of the network based on the average sensitivity of Boolean functions of the nodes. Theoretical analysis is carried out to estimate the expected critical value of the fraction, and shows that the critical value is reduced using this scheme compared to that of randomly freezing a fraction of the nodes. Finally, the simulation is given for illustrating the effectiveness of the proposed method.

Abstract: In this paper, we discuss how to transform the disordered phase into an ordered phase in random Boolean networks. To increase the effectiveness, a control scheme is proposed, which periodically freezes a fraction of the network based on the average sensitivity of Boolean functions of the nodes. Theoretical analysis is carried out to estimate the expected critical value of the fraction, and shows that the critical value is reduced using this scheme compared to that of randomly freezing a fraction of the nodes. Finally, the simulation is given for illustrating the effectiveness of the proposed method.

Key words: random Boolean network, control, average sensitivity

中图分类号:  (Order-disorder transformations)

  • 64.60.Cn
64.60.aq (Networks) 05.45.Gg (Control of chaos, applications of chaos)