Literature DB >> 25273188

Controllability of asynchronous Boolean multiplex control networks.

Chao Luo1, Xingyuan Wang2, Hong Liu1.   

Abstract

In this article, the controllability of asynchronous Boolean multiplex control networks (ABMCNs) is studied. First, the model of Boolean multiplex control networks under Harvey' asynchronous update is presented. By means of semi-tensor product approach, the logical dynamics is converted into linear representation, and a generalized formula of control-depending network transition matrices is achieved. Second, a necessary and sufficient condition is proposed to verify that only control-depending fixed points of ABMCNs can be controlled with probability one. Third, using two types of controls, the controllability of system is studied and formulae are given to show: (a) when an initial state is given, the reachable set at time s under a group of specified controls; (b) the reachable set at time s under arbitrary controls; (c) the specific probability values from a given initial state to destination states. Based on the above formulae, an algorithm to calculate overall reachable states from a specified initial state is presented. Moreover, we also discuss an approach to find the particular control sequence which steers the system between two states with maximum probability. Examples are shown to illustrate the feasibility of the proposed scheme.

Mesh:

Year:  2014        PMID: 25273188     DOI: 10.1063/1.4887278

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  2 in total

1.  Controllability of time-delayed Boolean multiplex control networks under asynchronous stochastic update.

Authors:  Chao Luo; Xingyuan Wang; Hong Liu
Journal:  Sci Rep       Date:  2014-12-17       Impact factor: 4.379

2.  Topology Universality and Dissimilarity in a Class of Scale-Free Networks.

Authors:  Lanhua Zhang; Juan Chen; Mei Wang; Yujuan Li; Shaowei Xue; Yiyuan Tang; Baoliang Sun
Journal:  PLoS One       Date:  2016-08-25       Impact factor: 3.240

  2 in total

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