摘要
The reconnaissance or electronic warfare payload UAV swarm with networking and coordination functions are highly autonomous swarm intelligent Cyber-Physical System (CPS). The system core of continuous and effective operation lies in the cooperative work between intelligent entities. In the process of operation, the external interference / hit of the system or the degradation / abnormality of the internal nodes will affect the security, efficiency and reliability of the system. In this paper, the idea of evolutionary game is used to dynamically reconstruct the resources of the degenerating swarm, reconfigure the available resources, to make the swarm reaching an evolutionary stable state in a certain period of time, so as to improve the overall utilization rate of the cluster resources the flexibility of the swarm and the overall performance of the swarm from the system level, and ensuring continually and effectively safe operation of the swarm system.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 218-222 |
| 页数 | 5 |
| ISBN(电子版) | 9781728151694 |
| DOI | |
| 出版状态 | 已出版 - 9 11月 2020 |
| 活动 | 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 - Virtual, Kristiansand, 挪威 期限: 9 11月 2020 → 13 11月 2020 |
出版系列
| 姓名 | Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 |
|---|
会议
| 会议 | 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 |
|---|---|
| 国家/地区 | 挪威 |
| 市 | Virtual, Kristiansand |
| 时期 | 9/11/20 → 13/11/20 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 7 经济适用的清洁能源
指纹
探究 'Research on Task-Oriented Dynamic Reconstruction Method of UAV Swarm Evolutionary Game' 的科研主题。它们共同构成独一无二的指纹。引用此
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