摘要
This paper proposes a novel continuous-time distributed state estimation method for sensor networks under strongly connected directed graphs. The distributed output tracking dynamics are introduced for each node to estimate the entire measurement output of the sensor network, based on which the local state estimator is designed. Theoretical analysis demonstrate that the algorithm proposed in this paper can asymptotically realize distributed state estimation without noise. And a simulation example is also presented to show the validity of the presented method.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 146-150 |
| 页数 | 5 |
| ISBN（电子版） | 9780738146577 |
| DOI | |
| 出版状态 | 已出版 - 2021 |
| 已对外发布 | 是 |
| 活动 | 2021 IEEE International Conference on Unmanned Systems, ICUS 2021 - Beijing, 中国 期限: 15 10月 2021 → 17 10月 2021 |
出版系列
| 姓名 | Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021 |
|---|
会议
| 会议 | 2021 IEEE International Conference on Unmanned Systems, ICUS 2021 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Beijing |
| 时期 | 15/10/21 → 17/10/21 |
指纹
探究 'Output Tracking based Distributed State Estimation' 的科研主题。它们共同构成独一无二的指纹。引用此
Li, Y., Lv, Y., Duan, P., & Zhou, J. (2021). Output Tracking based Distributed State Estimation. 在 Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021 (页码 146-150). (Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUS52573.2021.9641147