摘要
In this paper, the weighted average consensus-based unscented Kalman filtering combined with event-triggered communication mechanism is developed. Each sensor node chooses to transmit its latest measurement update to the corresponding remote estimator based on its own event-triggering condition. A sufficient condition is derived to guarantee that the estimation error is bounded in mean square. Finally, an illustrative example is presented to demonstrate the feasibility and effectiveness of the proposed algorithm.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 1004-1009 |
| 页数 | 6 |
| ISBN（电子版） | 9781538695821 |
| DOI | |
| 出版状态 | 已出版 - 18 12月 2018 |
| 活动 | 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 - Singapore, 新加坡 期限: 18 11月 2018 → 21 11月 2018 |
出版系列
| 姓名 | 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 |
|---|
会议
| 会议 | 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 |
|---|---|
| 国家/地区 | 新加坡 |
| 市 | Singapore |
| 时期 | 18/11/18 → 21/11/18 |
指纹
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Song, W., Wang, J., Wang, C., & Shan, J. (2018). Event-Triggered Cooperative Unscented Kalman Filtering. 在 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 (页码 1004-1009). 文章 8581328 (2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICARCV.2018.8581328