CASIA OpenIR

浏览/检索结果: 共483条,第1-10条 帮助

已选(0)清除 条数/页:   排序方式:
A Review and Outlook on Predictive Cruise Control of Vehicles and Typical Applications Under Cloud Control System 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 614-639
作者:  Bolin Gao;  Keke Wan;  Qien Chen;  Zhou Wang;  Rui Li;  Yu Jiang;  Run Mei;  Yinghui Luo;  Keqiang Li
Adobe PDF(12630Kb)  |  收藏  |  浏览/下载:4/1  |  提交时间:2024/04/23
Predictive cruise control (PCC), cloud control system (CCS), cooperative control, efficient operation, intelligent connected vehicle  
Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 2, 页码: 127-137
作者:  Emanuele De Santis;  Alessandro Giuseppi;  Antonio Pietrabissa;  Michael Capponi;  Francesco Delli Priscoli
Adobe PDF(1513Kb)  |  收藏  |  浏览/下载:1/1  |  提交时间:2024/04/23
Network selection  HetNet  deep reinforcement learning  deep-Q-network (DQN)  5G communications  
Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189
作者:  Xiao Xue;  Xiangning Yu;  Deyu Zhou;  Xiao Wang;  Chongke Bi;  Shufang Wang;  Fei-Yue Wang
Adobe PDF(11890Kb)  |  收藏  |  浏览/下载:19/4  |  提交时间:2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
Parallel Vision ⊇ Image Synthesis/Augmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 782-784
作者:  Wenwen Zhang;  Wenbo Zheng;  Qiang Li;  Fei-Yue Wang
Adobe PDF(718Kb)  |  收藏  |  浏览/下载:76/32  |  提交时间:2024/02/19
Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者:  Yuchuang Tong;  Haotian Liu;  Zhengtao Zhang
Adobe PDF(7587Kb)  |  收藏  |  浏览/下载:74/14  |  提交时间:2024/01/23
Future trends and challenges  humanoid robots  human-robot interaction  key technologies  potential applications  
Social Radars: Finding Targets in Cyberspace for Cybersecurity 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 279-282
作者:  Lili Fan;  Changxian Zeng;  Yutong Wang;  Jiaqi Ma;  Fei-Yue Wang
Adobe PDF(10180Kb)  |  收藏  |  浏览/下载:46/7  |  提交时间:2024/01/23
Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 231-239
作者:  Yahui Liu;  Bin Tian;  Yisheng Lv;  Lingxi Li;  Fei-Yue Wang
Adobe PDF(8541Kb)  |  收藏  |  浏览/下载:220/153  |  提交时间:2024/01/02
Content-based Transformer  deep learning  feature aggregator  local attention  point cloud classification  
Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 181-195
作者:  Xiaolin Tang;  Yuyou Yang;  Teng Liu;  Xianke Lin;  Kai Yang;  Shen Li
Adobe PDF(4905Kb)  |  收藏  |  浏览/下载:185/119  |  提交时间:2024/01/02
Automatic parking  control strategy  parking deviation (APS)  soft actor-critic (SAC)  
Autonomous Vehicle Platoons In Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 141-156
作者:  Luigi D’Alfonso;  Francesco Giannini;  Giuseppe Franzè;  Giuseppe Fedele;  Francesco Pupo;  Giancarlo Fortino
Adobe PDF(7491Kb)  |  收藏  |  浏览/下载:197/125  |  提交时间:2024/01/02
Distributed model predictive control  distributed reinforcement learning  routing decisions  urban road networks  
Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36
作者:  Ding Wang;  Ning Gao;  Derong Liu;  Jinna Li;  Frank L. Lewis
Adobe PDF(1945Kb)  |  收藏  |  浏览/下载:243/180  |  提交时间:2024/01/02
Adaptive dynamic programming (ADP)  advanced control  complex environment  data-driven control  event-triggered design  intelligent control  neural networks  nonlinear systems  optimal control  reinforcement learning (RL)