Reaching Non-Negative Edge Consensus of Networked Dynamical Systems
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 2712-2722 |
| Journal / Publication | IEEE Transactions on Cybernetics |
| Volume | 48 |
| Issue number | 9 |
| Online published | 18 Sept 2017 |
| Publication status | Published - Sept 2018 |
Link(s)
Abstract
In this paper, the problem of non-negative edge consensus of undirected networked linear time-invariant systems is addressed by associating each edge of the network with a state variable, for which a distributed algorithm is constructed. Sufficient conditions referring only to the number of edges are derived for non-negative edge consensus of the networked systems. Subsequently, the linear programming method and a low-gain feedback technique are introduced to simplify the design of the feedback gain matrix for achieving the non-negative edge consensus. It is found that the low-gain feedback technique has a good effect on the non-negative edge consensus of the networked systems subject to input saturation. Numerical simulations are presented to verify the effectiveness of the theoretical results.
Research Area(s)
- Automation, Distributed algorithm, Eigenvalues and eigenfunctions, Internet, Laplace equations, line graph, low-gain feedback, networked system, non-negative edge consensus, Roads, Vehicle dynamics
Citation Format(s)
Reaching Non-Negative Edge Consensus of Networked Dynamical Systems. / Wang, Xiao Ling; Su, Housheng; Chen, Michael Z. Q. et al.
In: IEEE Transactions on Cybernetics, Vol. 48, No. 9, 09.2018, p. 2712-2722.
In: IEEE Transactions on Cybernetics, Vol. 48, No. 9, 09.2018, p. 2712-2722.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
