| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 411404 | Neurocomputing | 2016 | 9 Pages |
Abstract
In this paper, a class of consensus protocol for detail-balanced networks of agents with general Lipschitz-type nonlinear dynamics and external disturbances is investigated. To guarantee asymptotic consensus in such a multi-agent system, several distributed controllers are constructed based only on the relative state information of neighboring agents. By appropriately constructing Lyapunov function and using tools from M-matrix theory, some sufficient conditions for achieving distributed consensus are provided. Finally, two examples and simulations are given to illustrate the effectiveness of the obtained theoretical result.
Keywords
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Deqiang Ouyang, Zhiyong Yu, Haijun Jiang, Cheng Hu,