机构

• 自动化研究所 [8]
• 长春光学精密机械与物... [2]

采集方式

• OAI收割 [10]

内容类型

• 期刊论文 [10]

发表日期

• 2024 [2]
• 2023 [1]
• 2022 [1]
• 2021 [1]
• 2020 [1]
• 2018 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共10条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Data-Driven Learning Control Algorithms for Unachievable Tracking Problems 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 205-218 作者:  Zeyi Zhang;  Hao Jiang;  Dong Shen;  Samer S. Saab   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/01/02 Data-driven algorithms  incomplete information  iterative learning control  gradient information  unachievable problems   Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/01/23 Adaptive control  control system synthesis  data-driven iterative learning control  neurocontroller  nonlinear discrete time systems   A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy 期刊论文  OAI收割 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：4/0  |  提交时间：2023/11/17 Deep reinforcement learning (RL)  driving strategy  energy-efficient train control (EETC)  soft actorcritic (SAC)   Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems 期刊论文  OAI收割 NEUROCOMPUTING, 2022, 卷号: 507, 页码: 282-291 作者:  Wei, Qinglai;  Yang, Zesheng;  Su, Huaizhong;  Wang, Lijian   |  收藏  |  浏览/下载：38/0  |  提交时间：2022/09/19 Reinforcement learning  Adaptive dynamic programming (ADP)  UAV control  Monte Carlo simulation  Neural networks   Closed-loop inverse iterative learning control in frequency-domain for electromagnetic driven compliant micro-positioning platform 期刊论文  OAI收割 Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2021, 卷号: 29, 期号: 9, 页码: 2149-2157 作者:  X. Zhang;  L.-J. Lai;  P.-Z. Li and L.-M. Zhu   |  收藏  |  浏览/下载：8/0  |  提交时间：2022/06/13 A data-driven control method combining feedforward tuning and iterative learning control 期刊论文  OAI收割 Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2020, 卷号: 37, 期号: 6, 页码: 1367-1376 作者:  Y.-M. Bo,M.-S. Cao and H.-B. Gao   |  收藏  |  浏览/下载：9/0  |  提交时间：2021/07/06 Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 10, 页码: 2948-2961 作者:  Mu, Chaoxu;  Wang, Ding;  He, Haibo   |  收藏  |  浏览/下载：33/0  |  提交时间：2019/12/16 Adaptive Dynamic Programming (Adp)  Data-driven Control  Finite-horizon Optimal Control  Heuristic Dynamic Programming (Hdp)  Learning Control  Neural Networks   Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs 期刊论文  OAI收割 NEUROCOMPUTING, 2017, 卷号: 238, 期号: *, 页码: 377-386 作者:  Zhang, Qichao;  Zhao, Dongbin;  Zhu, Yuanheng   |  收藏  |  浏览/下载：9/0  |  提交时间：2017/05/04 Adaptive Dynamic Programming  Optimal Control  Neural Network  Fully Cooperative Games  Data-driven  Constrained Input   Data-driven controller design for general MIMO nonlinear systems via virtual reference feedback tuning and neural networks 期刊论文  OAI收割 NEUROCOMPUTING, 2016, 卷号: 171, 页码: 815-825 作者:  Yan, Pengfei;  Liu, Derong;  Wang, Ding;  Ma, Hongwen 收藏  |  浏览/下载：89/0  |  提交时间：2016/01/18 Data-driven control  MIMO nonlinear systems  Model reference control  Neural networks  Virtual reference feedback tuning   Data-Driven Neuro-Optimal Temperature Control of Water-Gas Shift Reaction Using Stable Iterative Adaptive Dynamic Programming 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 卷号: 61, 期号: 11, 页码: 6399-6408 作者:  Wei, Qinglai;  Liu, Derong 收藏  |  浏览/下载：27/0  |  提交时间：2015/08/12 Adaptive critic designs  adaptive dynamic programming (ADP)  approximate dynamic programming  approximation errors  data-driven control  neural networks (NNs)  optimal control  reinforcement learning  water-gas shift (WGS)