|
已选(0)清除
条数/页： 排序方式： |
| 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：181/125 | 提交时间：2024/01/02
Distributed model predictive control distributed reinforcement learning routing decisions urban road networks |
| Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1075-1091
作者: Dezhen Xiong; Daohui Zhang; Yaqi Chu; Yiwen Zhao; Xingang Zhao
Adobe PDF(5061Kb) | 收藏 | 浏览/下载：4/2 | 提交时间：2024/04/10
Electromyography human-robot-environment interaction (HREI) human-robot interaction (HRI) semiautonomous sensory feedback |
| 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：59/12 | 提交时间：2024/01/23
Future trends and challenges humanoid robots human-robot interaction key technologies potential applications |
| UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445
作者: Jiawen Kang; Junlong Chen; Minrui Xu; Zehui Xiong; Yutao Jiao; Luchao Han; Dusit Niyato; Yongju Tong; Shengli Xie
Adobe PDF(6097Kb) | 收藏 | 浏览/下载：45/12 | 提交时间：2024/01/23
Avatar blockchain metaverses multi-agent deep reinforcement learning transformer UAVs |
| 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：229/179 | 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) |
| Squeezing More Past Knowledge for Online Class-Incremental Continual Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 722-736
作者: Da Yu; Mingyi Zhang; Mantian Li; Fusheng Zha; Junge Zhang; Lining Sun; Kaiqi Huang
Adobe PDF(7599Kb) | 收藏 | 浏览/下载：222/92 | 提交时间：2023/03/02
Catastrophic forgetting class-incremental learning continual learning (CL) experience replay |
| GraphCA: Learning From Graph Counterfactual Augmentation for Knowledge Tracing 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2108-2123
作者: Xinhua Wang; Shasha Zhao; Lei Guo; Lei Zhu; Chaoran Cui; Liancheng Xu
Adobe PDF(1627Kb) | 收藏 | 浏览/下载：71/33 | 提交时间：2023/09/22
Contrastive learning counterfactual representation graph neural network knowledge tracing |
| Intelligent Electric Vehicle Charging Scheduling in Transportation-Energy Nexus With Distributional Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2171-2173
作者: Tao Chen; Ciwei Gao
Adobe PDF(577Kb) | 收藏 | 浏览/下载：44/21 | 提交时间：2023/09/22 |
| Observer-Based Path Tracking Controller Design for Autonomous Ground Vehicles With Input Saturation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 749-761
作者: Heng Wang; Tengfei Zhang; Xiaoyu Zhang; Qing Li
Adobe PDF(5116Kb) | 收藏 | 浏览/下载：136/36 | 提交时间：2023/03/02
Autonomous ground vehicles (AGVs) H∞ index input saturation observer-based controller path tracking control |
| STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238
作者: Zebing Wei; Hongxia Zhao; Zhishuai Li; Xiaojie Bu; Yuanyuan Chen; Xiqiao Zhang; Yisheng Lv; Fei-Yue Wang
Adobe PDF(7068Kb) | 收藏 | 浏览/下载：229/60 | 提交时间：2023/01/03
Deep learning graph neural network (GNN) multi-stream spatial-temporal feature extraction temporal graph traffic prediction |
