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Receding-Horizon Trajectory Planning for Under-Actuated Autonomous Vehicles Based on Collaborative Neurodynamic Optimization

Jiasen Wang Jun Wang Qing-Long Han

自动化学报（英文版）2022，Vol.9Issue(11)：1909-1923,15.

自动化学报（英文版）2022，Vol.9Issue(11)：1909-1923,15.DOI:10.1109/JAS.2022.105524

Receding-Horizon Trajectory Planning for Under-Actuated Autonomous Vehicles Based on Collaborative Neurodynamic Optimization

Jiasen Wang ¹Jun Wang ²Qing-Long Han³

作者信息

1. Future Network Research Center,Purple Mountain Laboratories,Nanjing 211111,China
2. Department of Computer Science,the School of Data Science,City University of Hong Kong,Hong Kong,China
3. School of Science,Computing and Engineering Technologies,Swinburne University of Technology,Melbourne VIC 3122,Australia
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摘要

关键词

Collaborative neurodynamic optimization/receding-horizon planning/trajectory planning/under-actuated vehicles

Key words

Collaborative neurodynamic optimization/receding-horizon planning/trajectory planning/under-actuated vehicles

引用本文复制引用

Jiasen Wang,Jun Wang,Qing-Long Han..Receding-Horizon Trajectory Planning for Under-Actuated Autonomous Vehicles Based on Collaborative Neurodynamic Optimization[J].自动化学报（英文版）,2022,9(11):1909-1923,15.

基金项目

This work was supported in part by the Research Grants Council of the Hong Kong Special Administrative Region of China(11202318,11203721),and the Australian Research Council(DP200100700). （11202318,11203721）

自动化学报（英文版）

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