دورية أكاديمية
Car‐following strategy of intelligent connected vehicle using extended disturbance observer adjusted by reinforcement learning
| العنوان: | Car‐following strategy of intelligent connected vehicle using extended disturbance observer adjusted by reinforcement learning |
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| المؤلفون: | Ruidong Yan, Penghui Li, Hongbo Gao, Jin Huang, Chengbo Wang |
| المصدر: | CAAI Transactions on Intelligence Technology, Vol 9, Iss 2, Pp 365-373 (2024) |
| بيانات النشر: | Wiley, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Computational linguistics. Natural language processing LCC:Computer software |
| مصطلحات موضوعية: | adaptive system, autonomous vehicle, intelligent control, Computational linguistics. Natural language processing, P98-98.5, Computer software, QA76.75-76.765 |
| الوصف: | Abstract Disturbance observer‐based control method has achieved good results in the car‐following scenario of intelligent and connected vehicle (ICV). However, the gain of conventional extended disturbance observer (EDO)‐based control method is usually set manually rather than adjusted adaptively according to real time traffic conditions, thus declining the car‐following performance. To solve this problem, a car‐following strategy of ICV using EDO adjusted by reinforcement learning is proposed. Different from the conventional method, the gain of proposed strategy can be adjusted by reinforcement learning to improve its estimation accuracy. Since the “equivalent disturbance” can be compensated by EDO to a great extent, the disturbance rejection ability of the car‐following method will be improved significantly. Both Lyapunov approach and numerical simulations are carried out to verify the effectiveness of the proposed method. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2468-2322 |
| Relation: | https://doaj.org/toc/2468-2322 |
| DOI: | 10.1049/cit2.12252 |
| URL الوصول: | https://doaj.org/article/e0c3f4c6851242aca66c41edf673ac05 |
| رقم الأكسشن: | edsdoj.0c3f4c6851242aca66c41edf673ac05 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 24682322 |
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| DOI: | 10.1049/cit2.12252 |