摘要
This paper addresses the fixed-time predefined performance platoon formation control problem of automated vehicles with the consideration of uncertain disturbances. First, a general platoon formation control framework is developed. Then, the transformed errors are designed to make sure the predefined performance requirement is satisfied. Furthermore, the radial basis function neural network is introduced to deal with uncertain disturbances, which accommodates unmodelled dynamics and unknown external disturbances. To this end, the fixed-time stability of the whole closed-loop system is proved theoretically, and simulation results are given to illustrate the effectiveness of the proposed method.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2023 IEEE 8th International Conference on Intelligent Transportation Engineering, ICITE 2023 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 439-444 |
| 页数 | 6 |
| ISBN(电子版) | 9798350314212 |
| DOI | |
| 出版状态 | 已出版 - 2023 |
| 活动 | 8th IEEE International Conference on Intelligent Transportation Engineering, ICITE 2023 - Beijing, 中国 期限: 28 10月 2023 → 30 10月 2023 |
出版系列
| 姓名 | 2023 IEEE 8th International Conference on Intelligent Transportation Engineering, ICITE 2023 |
|---|
会议
| 会议 | 8th IEEE International Conference on Intelligent Transportation Engineering, ICITE 2023 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Beijing |
| 时期 | 28/10/23 → 30/10/23 |
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:
-
可持续发展目标 11 可持续城市和社区
指纹
探究 'Fixed-Time Predefined Performance Platoon Formation Control of Automated Vehicles with Uncertain Disturbances' 的科研主题。它们共同构成独一无二的指纹。引用此
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver