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| A Novel Disturbance Observer Based Fixed-Time Sliding Mode Control for Robotic Manipulators With Global Fast Convergence 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 661-672 作者: Dan Zhang; Jiabin Hu; Jun Cheng; Zheng-Guang Wu; Huaicheng Yan Adobe PDF(5044Kb)  |  收藏  |  浏览/下载:26/10  |  提交时间:2024/02/19 Disturbance observer (DO) fixed-time non-singular sliding mode control robotic manipulator trajectory tracking |
| Equilibrium Strategy of the Pursuit-Evasion Game in Three-Dimensional Space 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 446-458 作者: Nuo Chen; Linjing Li; Wenji Mao Adobe PDF(3567Kb)  |  收藏  |  浏览/下载:48/17  |  提交时间:2024/01/23 Differential game equilibrium strategy pursuit-evasion game threedegree-of-freedom control |
| 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:37/6  |  提交时间:2024/01/23 Future trends and challenges humanoid robots human-robot interaction key technologies potential applications |
| 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:26/10  |  提交时间:2024/01/23 Process control process systems engineering reinforcement learning |
| Learning to Branch in Combinatorial Optimization With Graph Pointer Networks 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 157-169 作者: Rui Wang; Zhiming Zhou; Kaiwen Li; Tao Zhang; Ling Wang; Xin Xu; Xiangke Liao Adobe PDF(1841Kb)  |  收藏  |  浏览/下载:180/143  |  提交时间:2024/01/02 Branch-and-bound (B&B) combinatorial optimization deep learning graph neural network imitation learning |
| Orientation and Decision-Making for Soccer Based on Sports Analytics and AI: A Systematic Review 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 37-57 作者: Zhiqiang Pu; Yi Pan; Shijie Wang; Boyin Liu; Min Chen; Hao Ma; Yixiong Cui Adobe PDF(3690Kb)  |  收藏  |  浏览/下载:273/236  |  提交时间:2024/01/02 Artificial intelligence (AI) decision-making football review soccer sports analytics |
| 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:198/163  |  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) |
| Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038 作者: Xiao Xue; Deyu Zhou; Xiangning Yu; Gang Wang; Juanjuan Li; Xia Xie; Lizhen Cui; Fei-Yue Wang Adobe PDF(7239Kb)  |  收藏  |  浏览/下载:6/1  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |
| A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981 作者: Yong-Chao Li; Rui-Sheng Jia; Ying-Xiang Hu; Hong-Mei Sun Adobe PDF(10448Kb)  |  收藏  |  浏览/下载:7/3  |  提交时间:2024/03/18 Crowd density estimation linear feature calibration vision transformer weakly-supervision learning |
| Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931 作者: Fei Ming; Wenyin Gong; Ling Wang; Yaochu Jin Adobe PDF(2091Kb)  |  收藏  |  浏览/下载:9/3  |  提交时间:2024/03/18 Constrained multi-objective optimization deep Q-learning deep reinforcement learning (DRL) evolutionary algorithms evolutionary operator selection |