Cooperative Control for Trains with Active Protection Under Communication Uncertainties
Bibliographic Data
| ID | 22106916 |
|---|---|
| Authors | Zixuan Zhang (0009-0000-1281-0324, Tsinghua University), Yao Zhang (0000-0002-8694-5245, Beijing Jiaotong University), Weiqi Bai (0000-0002-9613-7460, Beihang University), Hairong Dong (0000-0003-4369-3401, Tongji University) |
| Year | 2026 |
| Volume | 13 |
| Issue | 3 |
| Pages | 2789-2800 |
| Publication date | 2026-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Computational Social Systems (JOURNAL) |
| Journal identifiers | ISSN: 2329-924X • E-ISSN: 2373-7476 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/tcss.2026.3676394 |
| OpenAlex | W7163055549 |
| Language | EN |
| References cited | 29 |
Determining the safety region is crucial in designing cooperative controllers with active protection for multiple trains. Unlike existing methods that typically consider the safety region as a predefined constant or overlook the influence of state errors caused by disturbances, this article proposes a two-layer control algorithm to address cooperative control and active protection challenges under the influence of communication uncertainties such as time delays, packet loss, and noise. The first layer of the algorithm manages these disturbances during the safety region calculation, thereby reducing the complexity of the controller design. Additionally, rather than considering only a single safety region, the proposed method ensures tracking safety and control stability by accommodating the switching between multiple safety regions, as theoretically demonstrated. The separation of safety regions calculation and controller design increases application flexibility. Therefore, the proposed method can adapt to various communication conditions, such as time delay, since the controller is designed without using a specific time delay value. The effectiveness of the proposed method is also verified through several numerical experiments conducted in typical scenarios
Control system · Power-system protection · Train · Control and Dynamics of Mobile Robots · Distributed Control Multi-Agent Systems · Railway Systems and Energy Efficiency
| Citation velocity | historical |
|---|---|
| Highly cited | No |