The Roles of Input Matrix and Nodal Dynamics in Network Controllability

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

7 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)1764-1774
Journal / PublicationIEEE Transactions on Control of Network Systems
Volume5
Issue number4
Online published6 Oct 2017
Publication statusPublished - Dec 2018

Abstract

Recently, there has been a growing interest in network controllability for determining the number and placement of controllers. In the framework of linear dynamics, this paper regarding the network controllability studies both the formulation of the control input matrix and the influence of the linear nodal dynamics, with precise guidelines derived on how to design the input matrix. This design strategy takes the column vectors of the input matrix as the basis to expand the controllable subspace to the maximal. In the one-dimensional case, it is found that significantly different nodal dynamics dominate the network topology, but identical nodal dynamics have no effect on the network controllability. In the higher-dimensional case, it reveals why controllable network topology and controllable nodal dynamics together are still insufficient to ensure the controllability of the whole network, with a feasible solution to the problem presented based on a suitably designed input matrix. All characteristics of the network topology and nodal dynamics are integrated into the input matrix formulation, which plays an essential role in determining the network controllability.

Research Area(s)

  • Network controllability, controllable subspace, Jordan decomposition, leader vector, nodal dynamics