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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2023     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Multiagent-Reinforcement-Learning-Based Stable Path Tracking Control for a Bionic Robotic Fish With Reaction Wheel 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 12, 页码: 12670-12679 作者:  Qiu, Changlin;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi 收藏  |  浏览/下载：6/0  |  提交时间：2023/11/17 Multiagent reinforcement learning (MARL)  path tracking control  reaction wheel  robotic fish  underwater robot   Real-Time Acoustic Holography With Physics-Based Deep Learning for Robotic Manipulation 期刊论文 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 10 作者:  Zhong, Chengxi;  Li, Jiaqi;  Sun, Zhenhuan;  Li, Teng;  Guo, Yao 收藏  |  浏览/下载：3/0  |  提交时间：2023/11/17 Index Terms-Acoustic holography (AH)  inverse kinematics  phased array of transducers (PAT)  robotic manipulation   A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 7, 页码: 7885-7893 作者:  Su, Shuai;  Zhu, Qingyang;  Liu, Junqing;  Tang, Tao;  Wei, Qinglai 收藏  |  浏览/下载：3/0  |  提交时间：2023/11/17 Deep reinforcement learning (RL)  driving strategy  energy-efficient train control (EETC)  soft actorcritic (SAC)   Fundamental Trackability Problems for Iterative Learning Control 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1933-1950 作者:  Deyuan Meng;  Jingyao Zhang 收藏  |  浏览/下载：1/0  |  提交时间：2023/09/07 Convergence  functional Cauchy sequence (FCS)  iterative learning control (ILC)  trackability   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 收藏  |  浏览/下载：5/0  |  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