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
         
        
        
        
        
            fDate : 
4/1/2010 12:00:00 AM
         
        
        
        
            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;
         
        
        
            Journal_Title : 
Neural Networks, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TNN.2009.2039802