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| Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1591-1604 作者: Kun Jiang; Wenzhang Liu; Yuanda Wang; Lu Dong; Changyin Sun
Adobe PDF(2128Kb)  |   收藏  |  浏览/下载:15/6  |  提交时间:2024/06/07 Latent variable model maximum entropy multi-agent reinforcement learning (MARL) multi-agent system |
| A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1342-1357 作者: Sheng Qi; Rui Wang; Tao Zhang; Xu Yang ; Ruiqing Sun; Ling Wang
Adobe PDF(3038Kb)  |   收藏  |  浏览/下载:25/8  |  提交时间:2024/05/22 Evolutionary algorithms learning swarm optimization sparse large-scale optimization sparse large-scale multi-objective problems two-layer encoding |
| Deterministic Learning-Based Neural PID Control for Nonlinear Robotic Systems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1227-1238 作者: Qinchen Yang; Fukai Zhang; Cong Wang![](/image/person.jpg)
Adobe PDF(4415Kb)  |   收藏  |  浏览/下载:46/15  |  提交时间:2024/04/10 Adaptive neural control (ANC) deterministic learning (DL) neural network (NN) robot manipulators |
| 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:43/10  |  提交时间:2024/04/10 Electromyography human-robot-environment interaction (HREI) human-robot interaction (HRI) semiautonomous sensory feedback |
| 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![](/image/person.jpg)
Adobe PDF(7239Kb)  |   收藏  |  浏览/下载:53/12  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |
| Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 932-945 作者: Bin Yang ; Yaguo Lei; Xiang Li ; Naipeng Li; Asoke K. Nandi
Adobe PDF(18822Kb)  |   收藏  |  浏览/下载:47/9  |  提交时间:2024/03/18 Deep transfer learning domain adaptation incorrect label annotation intelligent fault diagnosis rotating machines |
| Simulation Analysis of Deformation Control for Magnetic Soft Medical Robots 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 794-796 作者: Jingxi Wang; Baoyu Liu; Edmond Q. Wu; Jin Ma ; Ping Li
Adobe PDF(1124Kb)  |   收藏  |  浏览/下载:117/40  |  提交时间:2024/02/19 |
| A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 377-390 作者: Honghao Zhu; MengChu Zhou; Yu Xie; Aiiad Albeshri
Adobe PDF(2674Kb)  |   收藏  |  浏览/下载:63/19  |  提交时间:2024/01/23 Credit card fraud detection (CCFD) dandelion algorithm (DA) feature selection normal sowing operator |
| Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 344-361 作者: Yunfeng Hu; Chong Zhang ; Bo Wang; Jing Zhao; Xun Gong; Jinwu Gao; Hong Chen
Adobe PDF(15857Kb)  |   收藏  |  浏览/下载:90/19  |  提交时间:2024/01/23 Adaptive control control system synthesis data-driven iterative learning control neurocontroller nonlinear discrete time systems |
| 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![](/image/person.jpg)
Adobe PDF(7587Kb)  |   收藏  |  浏览/下载:123/28  |  提交时间:2024/01/23 Future trends and challenges humanoid robots human-robot interaction key technologies potential applications |