北京航空航天大学主页平台系统程林--中文主页--论文

扫描手机二维码

欢迎您的访问
您是第位访客

开通时间：..

最后更新时间：..

登录| English | 手机版

同专业博导

同专业硕导

程林 ( 副教授 ) 赞
的个人主页 http://shi.buaa.edu.cn/chenglin/zh_CN/index.htm
副教授博士生导师硕士生导师

论文当前位置：中文主页 >> 论文

[11] .Lin Cheng, Zhenbo Wang, Fanghua Jiang. Real-time Optimal Entry Guidance based on Deep Reinforcement Learning[C]. 71th International Astronautical Congress. 2020.
[12] .Lin Cheng, Zhenbo Wang, Fanghua Jiang. Fast Generation of Optimal Asteroid Landing Trajectories Using Deep Neural Networks. IEEE Transactions on Aerospace and Electronic Systems, 2019. (Q1, 3/31, 3.67)
[13] .Lin Cheng, Zhenbo Wang, Fanghua Jiang. Fast Solution Continuation of Time-Optimal Asteroid Landing Trajectories Using Deep Neural Networks. Acta Astronautica, 2019. (Q1, 4/31, 2.83)
[14] .Lin Cheng, Zhenbo Wang, Fanghua Jiang. An Identifier-Actor-Indirect Method Policy Learning Architecture for Optimal Control of Continuous-Time Nonlinear Systems. Science China-Physics Mechanics & Astronomy, 2019. (Q1, 11/85, 3.99)
[15] .Lin Cheng, Zhenbo Wang, Fanghua Jiang. Real-Time Optimal Control for Irregular Asteroid Landings Using Deep Neural Networks. Acta Astronautica, 2019. (Q1, 4/31, 2.83)
[16] .Lin Cheng, Zhenbo Wang, and Fanghua Jiang. ”Real-time control for fuel-optimal Moon landing based on an interactive deep reinforcement learning algorithm.” Astrodynamics 3.4 (2019): 375-386
[17] .Lin Cheng, Qingzhen Zhang, Fanghua Jiang. Multi-constrained compound reentry guidance based on onboard model identification[J]. Journal of Tsinghua University (Science and Technology). 2019, 01, (01).
[18] .Lin Cheng, Zhenbo Wang, Yu Song, et al. Real-time Optimal Control for Irregular Asteroid Landings Using Deep Neural Networks[C]. 29th AAS/AIAA Space Flight Mechanics Meeting. 2019.
[19] .Yu Song, Lin Cheng, Shengping Gong. Fast Estimation of Gravitational Field of Irregular Asteroids Based on Deep Learning and Its Applications[C]. 29th AAS/AIAA Space Flight Mechanics Meeting. 2019.
[20] .Lin Cheng, Zhenbo Wang, Fanghua Jiang. Multi-Constrained Real-Time Entry Guidance Using Deep Neural Networks[C]. 70th International Astronautical Congress. 2019.

共26条 2/3

首页上页下页尾页页

版权所有 2014-2022 北京航空航天大学京ICP备05004617-3 文保网安备案号1101080018
地址：北京市海淀区学院路37号邮编：100191 电话：82317114