|
已选(0)清除
条数/页： 排序方式： |
| Prescribed-Time Nash Equilibrium Seeking for Pursuit-Evasion Game 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1518-1520
作者: Lei Xue; Jianfeng Ye; Yongbao Wu; Jian Liu ; D. C. Wunsch
 Adobe PDF(930Kb) |  收藏 | 浏览/下载：19/6 | 提交时间：2024/05/22 |
| Adaptive Sensor-Fault Tolerant Control of Unmanned Underwater Vehicles With Input Saturation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 907-918
作者: Xuerao Wang; Qingling Wang; Yanxu Su; Yuncheng Ouyang; Changyin Sun
Adobe PDF(3677Kb) | 收藏 | 浏览/下载：32/12 | 提交时间：2024/03/18
Asymptotic stability fault-tolerant control input saturation robust integral of the sign of error unmanned underwater vehicle |
| 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：63/13 | 提交时间：2024/01/23
Avatar blockchain metaverses multi-agent deep reinforcement learning transformer UAVs |
| Virtual Power Plants for Grid Resilience: A Concise Overview of Research and Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 329-343
作者: Yijing Xie; Yichen Zhang; Wei-Jen Lee; Zongli Lin; Yacov A. Shamash
Adobe PDF(798Kb) | 收藏 | 浏览/下载：74/29 | 提交时间：2024/01/23
Climate change renewable energy resources resilience smart grids virtual power plants (VPPs) |
| Reinforcement Learning in Process Industries: Review and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300
作者: Oguzhan Dogru; Junyao Xie; Om Prakash; Ranjith Chiplunkar; Jansen Soesanto; Hongtian Chen; Kirubakaran Velswamy; Fadi Ibrahim; Biao Huang
Adobe PDF(1275Kb) | 收藏 | 浏览/下载：46/15 | 提交时间：2024/01/23
Process control process systems engineering reinforcement learning |
| 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：206/125 | 提交时间：2024/01/02
Automatic parking control strategy parking deviation (APS) soft actor-critic (SAC) |
| 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：265/184 | 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) |
| Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2233-2247
作者: Hongyu Ding; Yuanze Tang; Qing Wu; Bo Wang; Chunlin Chen; Zhi Wang
Adobe PDF(5205Kb) | 收藏 | 浏览/下载：102/34 | 提交时间：2023/10/31
Dynamic environments goal-conditioned reinforcement learning magnetic field reward shaping |
| Human-Like Decision-Making of Autonomous Vehicles in Dynamic Traffic Scenarios 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1905-1917
作者: Tangyike Zhang; Junxiang Zhan; Jiamin Shi; Jingmin Xin; Nanning Zheng
Adobe PDF(2815Kb) | 收藏 | 浏览/下载：154/64 | 提交时间：2023/09/07
Autonomous vehicles decision-making driving behavior human-like driving |
| Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1797-1809
作者: Ding Wang; Jiangyu Wang; Mingming Zhao; Peng Xin; Junfei Qiao
Adobe PDF(5140Kb) | 收藏 | 浏览/下载：145/59 | 提交时间：2023/08/10
Adaptive critic artificial neural networks Hamilton-Jacobi-Bellman (HJB) equation multi-step heuristic dynamic programming multi-step reinforcement learning optimal control |
