Projects per year
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.
| Original language | English |
|---|---|
| Pages (from-to) | 1764-1774 |
| Journal | IEEE Transactions on Control of Network Systems |
| Volume | 5 |
| Issue number | 4 |
| Online published | 6 Oct 2017 |
| DOIs | |
| Publication status | Published - Dec 2018 |
Research Keywords
- Network controllability
- controllable subspace
- Jordan decomposition
- leader vector
- nodal dynamics
RGC Funding Information
- RGC-funded
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Dive into the research topics of 'The Roles of Input Matrix and Nodal Dynamics in Network Controllability'. Together they form a unique fingerprint.Projects
- 1 Finished
-
GRF: Controllability and Observability of Temporally Switching Directed Networks
CHEN, G. (Principal Investigator / Project Coordinator)
1/01/17 → 7/12/20
Project: Research
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