论文标题
估计网络的强结构可控子空间：公平分区方法
Estimation of Strong Structural Controllable Subspace of Network: Equitable Partition Method
论文作者
论文摘要
在本文中，分析了网络的强结构可控性。基于对场景类型的公平分区的统一定义，在不同场景中给出了强结构可控子空间的上限，并通过使用双重系统的特征来分析强结构可观察性。最后，当强结构可控子空间的尺寸小于给出的个体数量时，实际上提出了强结构可控性分析的不变属性时的实际意义。
In this paper, the strong structural controllability of the network is analyzed. Based on the unified definition of equitable partition for kinds of scene, the upper bound of the strong structural controllable subspace in different scenarios is given, and the strong structural observability is analyzed by using the characteristics of the dual system. Finally, the practical significance when the dimension of the strong structural controllable subspace is less than the number of individuals is given, and an invariant attribute of strong structural controllability analysis is proposed.
