中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Receding-Horizon Trajectory Planning for Under-Actuated Autonomous Vehicles Based on Collaborative Neurodynamic Optimization

文献类型:期刊论文

作者Jiasen Wang; Jun Wang; Qing-Long Han
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2022
卷号9期号:11页码:1909-1923
关键词Collaborative neurodynamic optimization receding-horizon planning trajectory planning under-actuated vehicles
ISSN号2329-9266
DOI10.1109/JAS.2022.105524
英文摘要This paper addresses a major issue in planning the trajectories of under-actuated autonomous vehicles based on neurodynamic optimization. A receding-horizon vehicle trajectory planning task is formulated as a sequential global optimization problem with weighted quadratic navigation functions and obstacle avoidance constraints based on given vehicle goal configurations. The feasibility of the formulated optimization problem is guaranteed under derived conditions. The optimization problem is sequentially solved via collaborative neurodynamic optimization in a neurodynamics-driven trajectory planning method/procedure. Simulation results with under-actuated unmanned wheeled vehicles and autonomous surface vehicles are elaborated to substantiate the efficacy of the neurodynamics-driven trajectory planning method.
源URL[http://ir.ia.ac.cn/handle/173211/49923]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式
GB/T 7714
Jiasen Wang,Jun Wang,Qing-Long Han. Receding-Horizon Trajectory Planning for Under-Actuated Autonomous Vehicles Based on Collaborative Neurodynamic Optimization[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(11):1909-1923.
APA Jiasen Wang,Jun Wang,&Qing-Long Han.(2022).Receding-Horizon Trajectory Planning for Under-Actuated Autonomous Vehicles Based on Collaborative Neurodynamic Optimization.IEEE/CAA Journal of Automatica Sinica,9(11),1909-1923.
MLA Jiasen Wang,et al."Receding-Horizon Trajectory Planning for Under-Actuated Autonomous Vehicles Based on Collaborative Neurodynamic Optimization".IEEE/CAA Journal of Automatica Sinica 9.11(2022):1909-1923.

入库方式: OAI收割

来源:自动化研究所

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