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| 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:31/11  |  提交时间:2024/02/19 |
| A Fractional-Order Ultra-Local Model-Based Adaptive Neural Network Sliding Mode Control of n-DOF Upper-Limb Exoskeleton With Input Deadzone 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 760-781 作者: Dingxin He; HaoPing Wang; Yang Tian; Yida Guo Adobe PDF(9812Kb)  |  收藏  |  浏览/下载:23/4  |  提交时间:2024/02/19 Adaptive control input deadzone model-free control n-DOF upper-limb exoskeleton neural network |
| Distributed Economic MPC for Synergetic Regulation of the Voltage of an Island DC Micro-Grid 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 734-745 作者: Yi Zheng; Yanye Wang; Xun Meng; Shaoyuan Li; Hao Chen Adobe PDF(3523Kb)  |  收藏  |  浏览/下载:30/12  |  提交时间:2024/02/19 Distributed model predictive control (DMPC) Lyapunov-based model predictive control micro-grid (MG) voltage control |
| 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:29/3  |  提交时间:2024/01/23 Avatar blockchain metaverses multi-agent deep reinforcement learning transformer UAVs |
| Optimal Cooperative Secondary Control for Islanded DC Microgrids via a Fully Actuated Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 405-417 作者: Yi Yu; Guo-Ping Liu; Yi Huang; Peng Shi Adobe PDF(4885Kb)  |  收藏  |  浏览/下载:24/10  |  提交时间:2024/01/23 DC microgrids distributed control high-order fully actuated system approach linear quadratic regulator microgrid modeling secondary 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:34/6  |  提交时间:2024/01/23 Future trends and challenges humanoid robots human-robot interaction key technologies potential applications |
| 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:19/6  |  提交时间:2024/01/23 Climate change renewable energy resources resilience smart grids virtual power plants (VPPs) |
| 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:28/9  |  提交时间:2024/01/23 Adaptive control control system synthesis data-driven iterative learning control neurocontroller nonlinear discrete time systems |
| 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:146/113  |  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:188/156  |  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) |