Luo Chao, Wang Xingyuan, Liu Hong
School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China.
Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China.
Chaos. 2014 Sep;24(3):033108. doi: 10.1063/1.4887278.
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.
本文研究了异步布尔多路控制网络(ABMCNs)的可控性。首先,给出了Harvey异步更新下布尔多路控制网络的模型。借助半张量积方法,将逻辑动态转换为线性表示,并得到了控制依赖网络转移矩阵的广义公式。其次,提出了一个充要条件来验证只有ABMCNs的控制依赖不动点才能以概率1进行控制。第三,使用两种类型的控制,研究了系统的可控性并给出公式以表明:(a)当给定初始状态时,在一组指定控制下时间s时的可达集;(b)任意控制下时间s时的可达集;(c)从给定初始状态到目标状态的具体概率值。基于上述公式,提出了一种从指定初始状态计算总体可达状态的算法。此外,我们还讨论了一种找到以最大概率引导系统在两个状态之间转换的特定控制序列的方法。通过示例说明了所提方案的可行性。