Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE 8th International Conference on Intelligent Transportation Engineering, ICITE 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 439-444 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350314212 |
| DOIs | |
| State | Published - 2023 |
| Event | 8th IEEE International Conference on Intelligent Transportation Engineering, ICITE 2023 - Beijing, China Duration: 28 Oct 2023 → 30 Oct 2023 |
Publication series
| Name | 2023 IEEE 8th International Conference on Intelligent Transportation Engineering, ICITE 2023 |
|---|
Conference
| Conference | 8th IEEE International Conference on Intelligent Transportation Engineering, ICITE 2023 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 28/10/23 → 30/10/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Platoon formation control
- adaptive control
- fixed-time stability
- predefined performance control
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