| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4948339 | Neurocomputing | 2016 | 8 Pages |
Abstract
Sampling control of multi-rate for flocking motion is researched in this paper. For discrete-time multi-agent systems with communication delays, a distributed sampling control protocol applying individual local information is proposed. Basing on Lyapunov stability theory, a energy function is designed, and collaborative flocking motion of multi-agent systems is studied. Finally, simulation examples show the effectiveness of the proposed multi-rate sampling protocol.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Han Fujun, Gao Lei, Yang Hongyong,