DocumentCode :
1416414
Title :
State–Space Analysis of Boolean Networks
Author :
Cheng, Daizhan ; Qi, Hongsheng
Author_Institution :
Key Lab. of Syst. & Control, Chinese Acad. of Sci., Beijing, China
Volume :
21
Issue :
4
fYear :
2010
fDate :
4/1/2010 12:00:00 AM
Firstpage :
584
Lastpage :
594
Abstract :
This paper provides a comprehensive framework for the state-space approach to Boolean networks. First, it surveys the authors´ recent work on the topic: Using semitensor product of matrices and the matrix expression of logic, the logical dynamic equations of Boolean (control) networks can be converted into standard discrete-time dynamics. To use the state-space approach, the state space and its subspaces of a Boolean network have been carefully defined. The basis of a subspace has been constructed. Particularly, the regular subspace, Y-friendly subspace, and invariant subspace are precisely defined, and the verifying algorithms are presented. As an application, the indistinct rolling gear structure of a Boolean network is revealed.
Keywords :
Boolean algebra; matrix algebra; state-space methods; Boolean networks; discrete time dynamics; invariant subspace; logical dynamic equations; matrices; matrix expression; rolling gear structure; semitensor product; state space analysis; Basis; Boolean (control) network; indistinct rolling gear structure; state space; subspace; Algorithms; Animals; Computer Simulation; Humans; Logistic Models; Neural Networks (Computer); Nonlinear Dynamics; Time Factors;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/TNN.2009.2039802
Filename :
5411933
Link To Document :
بازگشت