中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning

文献类型:期刊论文

作者Wang, Yu4; Wang, Jian2,3; Kang, Song2,3; Yu, Junzhi1,3
刊名BIOMIMETICS
出版日期2024
卷号9期号:1页码:19
关键词biomimetic motion biomimetic autonomous system target following deep reinforcement learning predictive control
DOI10.3390/biomimetics9010033
通讯作者Yu, Junzhi(junzhi.yu@ia.ac.cn)
英文摘要Biological fish often swim in a schooling manner, the mechanism of which comes from the fact that these schooling movements can improve the fishes' hydrodynamic efficiency. Inspired by this phenomenon, a target-following control framework for a biomimetic autonomous system is proposed in this paper. Firstly, a following motion model is established based on the mechanism of fish schooling swimming, in which the follower robotic fish keeps a certain distance and orientation from the leader robotic fish. Second, by incorporating a predictive concept into reinforcement learning, a predictive deep deterministic policy gradient-following controller is provided with the normalized state space, action space, reward, and prediction design. It can avoid overshoot to a certain extent. A nonlinear model predictive controller is designed and can be selected for the follower robotic fish, together with the predictive reinforcement learning. Finally, extensive simulations are conducted, including the fix point and dynamic target following for single robotic fish, as well as cooperative following with the leader robotic fish. The obtained results indicate the effectiveness of the proposed methods, providing a valuable sight for the cooperative control of underwater robots to explore the ocean.
WOS关键词TRACKING
资助项目National Natural Science Foundation of China
WOS研究方向Engineering ; Materials Science
语种英语
出版者MDPI
WOS记录号WOS:001149504000001
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/55458]  
专题复杂系统认知与决策实验室
通讯作者Yu, Junzhi
作者单位1.Peking Univ, Coll Engn, Dept Adv Mfg & Robot, State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Automat, Lab Cognit & Decis Intelligence Complex Syst, Beijing 100190, Peoples R China
4.Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
推荐引用方式
GB/T 7714
Wang, Yu,Wang, Jian,Kang, Song,et al. Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning[J]. BIOMIMETICS,2024,9(1):19.
APA Wang, Yu,Wang, Jian,Kang, Song,&Yu, Junzhi.(2024).Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning.BIOMIMETICS,9(1),19.
MLA Wang, Yu,et al."Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning".BIOMIMETICS 9.1(2024):19.

入库方式: OAI收割

来源:自动化研究所

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