| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6865811 | Neurocomputing | 2015 | 7 Pages |
Abstract
This paper investigates group consensus for the first-order multi-agent systems with nonlinear input constraints. And group consensus protocols for discrete-time and continuous-time multi-agent systems are proposed. By using the tools of the Lyapunov function, LaSalle׳s invariance principle and graph theory, group consensus/finite-time group consensus conditions are obtained. Finally, two simulation examples are provided to illustrate the effectiveness of our proposed methods in the paper.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Guoying Miao, Qian Ma,