咨询与建议

限定检索结果

文献类型

  • 229 篇 会议
  • 18 篇 期刊文献

馆藏范围

  • 247 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 113 篇 工学
    • 103 篇 计算机科学与技术...
    • 42 篇 软件工程
    • 38 篇 电气工程
    • 23 篇 控制科学与工程
    • 5 篇 信息与通信工程
    • 3 篇 机械工程
    • 2 篇 力学(可授工学、理...
    • 1 篇 仪器科学与技术
    • 1 篇 建筑学
    • 1 篇 化学工程与技术
    • 1 篇 交通运输工程
  • 27 篇 理学
    • 25 篇 数学
    • 7 篇 系统科学
    • 6 篇 统计学(可授理学、...
    • 1 篇 物理学
    • 1 篇 化学
    • 1 篇 大气科学
  • 10 篇 管理学
    • 8 篇 管理科学与工程(可...
    • 3 篇 工商管理
    • 2 篇 图书情报与档案管...
  • 2 篇 经济学
    • 2 篇 应用经济学
  • 1 篇 法学
    • 1 篇 社会学

主题

  • 95 篇 dynamic programm...
  • 54 篇 optimal control
  • 51 篇 learning
  • 44 篇 reinforcement le...
  • 35 篇 learning (artifi...
  • 27 篇 equations
  • 25 篇 neural networks
  • 22 篇 heuristic algori...
  • 20 篇 convergence
  • 20 篇 control systems
  • 18 篇 function approxi...
  • 18 篇 mathematical mod...
  • 16 篇 approximation al...
  • 15 篇 vectors
  • 15 篇 cost function
  • 14 篇 markov processes
  • 14 篇 nonlinear system...
  • 14 篇 artificial neura...
  • 13 篇 stochastic proce...
  • 12 篇 adaptive dynamic...

机构

  • 10 篇 chinese acad sci...
  • 5 篇 school of inform...
  • 4 篇 northeastern uni...
  • 4 篇 department of el...
  • 4 篇 department of in...
  • 3 篇 department of el...
  • 3 篇 automation and r...
  • 3 篇 department of el...
  • 3 篇 robotics institu...
  • 3 篇 key laboratory o...
  • 3 篇 natl univ def te...
  • 3 篇 univ illinois de...
  • 2 篇 department of ar...
  • 2 篇 school of electr...
  • 2 篇 univ groningen i...
  • 2 篇 univ texas autom...
  • 2 篇 colorado state u...
  • 2 篇 guangxi univ sch...
  • 2 篇 national science...
  • 2 篇 informatics inst...

作者

  • 13 篇 liu derong
  • 7 篇 hado van hasselt
  • 7 篇 marco a. wiering
  • 7 篇 dongbin zhao
  • 6 篇 zhao dongbin
  • 5 篇 xu xin
  • 5 篇 lewis frank l.
  • 5 篇 huaguang zhang
  • 5 篇 wei qinglai
  • 5 篇 derong liu
  • 5 篇 warren b. powell
  • 4 篇 haibo he
  • 4 篇 jagannathan s.
  • 4 篇 frank l. lewis
  • 4 篇 zhang huaguang
  • 4 篇 ni zhen
  • 4 篇 yanhong luo
  • 4 篇 wang ding
  • 4 篇 he haibo
  • 4 篇 damien ernst

语言

  • 246 篇 英文
  • 1 篇 其他
检索条件"任意字段=2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2014"
247 条 记 录,以下是1-10 订阅
排序:
adaptive, Optimal, Virtual Synchronous Generator Control of Three-Phase Grid-Connected Inverters Under Different Grid Conditions-An adaptive dynamic programming Approach
收藏 引用
ieee TRANSACTIONS ON INDUSTRIAL INFORMATICS 2022年 第11期18卷 7388-7399页
作者: Wang, Zhongyang Yu, Yunjun Gao, Weinan Davari, Masoud Deng, Chao Fuzhou Inst Technol Sch Appl Sci & Engn Fuzhou 350506 Peoples R China Nanchang Univ Dept Automat Informat Engn Nanchang 330031 Jiangxi Peoples R China Florida Inst Technol Florida Tech Coll Engn & Sci Dept Mech & Civil Engn Melbourne FL 32901 USA Georgia Southern Univ Dept Elect & Comp Engn Statesboro Campus Statesboro GA 30460 USA Nanjing Univ Posts & Telecommun Inst Adv Technol Nanjing 210023 Peoples R China
This article proposes an adaptive, optimal, data-driven control approach based on reinforcement learning and adaptive dynamic programming to the three-phase grid-connected inverter employed in virtual synchronous gene... 详细信息
来源: 评论
adaptive Optimal Control of CVCF Inverters With Uncertain Load: An adaptive dynamic programming Approach
收藏 引用
ieee ACCESS 2021年 9卷 89276-89286页
作者: Wang, Zhongyang Yu, Yunjun Fuzhou Inst Technol Sch Appl Sci & Engn Fuzhou 350506 Peoples R China Nanchang Univ Sch Informat Engn Nanchang 330031 Jiangxi Peoples R China Nanchang Univ AI Inst Nanchang 330031 Jiangxi Peoples R China
This paper proposed a data-driven adaptive optimal control approach for CVCF (constant voltage, constant frequency) inverter based on reinforcement learning and adaptive dynamic programming (ADP). Different from exist... 详细信息
来源: 评论
LEACH-RLC: Enhancing IoT Data Transmission with Optimized Clustering and reinforcement learning
收藏 引用
ieee Internet of Things Journal 2025年
作者: Jurado-Lasso, F. Fernando Jurado, J.F. Fafoutis, Xenofon Technical University of Denmark Embedded Systems Engineering Section Dtu Compute Lyngby2800 Denmark Universidad Nacional de Colombia Sede Palmira Faculty of Engineering and Administration Department of Basic Science Palmira763531 Colombia
Wireless Sensor Networks (WSNs) play a pivotal role in enabling Internet of Things (IoT) devices with sensing and actuation capabilities. Operating in remote and resourceconstrained environments, these IoT devices fac... 详细信息
来源: 评论
Editorial Special Issue on adaptive dynamic programming and reinforcement learning
收藏 引用
ieee Transactions on Systems, Man, and Cybernetics: Systems 2020年 第11期50卷 3944-3947页
作者: Liu, Derong Lewis, Frank L. Wei, Qinglai School of Automation Guangdong University of Technology Guangzhou510006 China Uta Research Institute University of Texas at Arlington Fort WorthTX76118 United States State Key Laboratory of Management and Control for Complex Systems Istitute of Automation Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China
The past decade has witnessed a surge in research activities related to adaptive dynamic programming (ADP) and reinforcement learning (RL), particularly for control applications. Several books [item 1)–5) in the Appe... 详细信息
来源: 评论
ieee SSCI 2014 - 2014 ieee symposium Series on Computational Intelligence - adprl 2014: 2014 ieee symposium on adaptive dynamic programming and reinforcement learning, Proceedings
IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational...
收藏 引用
2014 ieee symposium on adaptive dynamic programming and reinforcement learning, adprl 2014
The proceedings contain 42 papers. The topics discussed include: approximate real-time optimal control based on sparse Gaussian process models;subspace identification for predictive state representation by nuclear nor...
来源: 评论
PDP: Parallel dynamic programming
收藏 引用
ieee/CAA Journal of Automatica Sinica 2017年 第1期4卷 1-5页
作者: Fei-Yue Wang Jie Zhang Qinglai Wei Xinhu Zheng Li Li IEEE State Key Laboratory of Management and Control for Complex Systems(SKL-MCCS) Institute of AutomationChinese Academy of Sciences(CASIA) School of Computer and Control Engineering University of Chinese Academy of Sciences Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences(SKL-MCCSCASIA) Qingdao Academy of Intelligent Industries Department of Computer Science and Engineering University of Minnesota Department of Automation Tsinghua University
Deep reinforcement learning is a focus research area in artificial intelligence. The principle of optimality in dynamic programming is a key to the success of reinforcement learning methods. The principle of adaptive ... 详细信息
来源: 评论
Proceedings of the 2013 ieee symposium on adaptive dynamic programming and reinforcement learning, adprl 2013 - 2013 ieee symposium Series on Computational Intelligence, SSCI 2013
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic P...
收藏 引用
2013 4th ieee symposium on adaptive dynamic programming and reinforcement learning, adprl 2013
The proceedings contain 28 papers. The topics discussed include: local stability analysis of high-order recurrent neural networks with multi-step piecewise linear activation functions;finite-horizon optimal control de...
来源: 评论
An adaptive dynamic programming Algorithm to Solve Optimal Control of Uncertain Nonlinear Systems
An Adaptive Dynamic Programming Algorithm to Solve Optimal C...
收藏 引用
ieee symposium on adaptive dynamic programming and reinforcement learning (adprl)
作者: Cui, Xiaohong Luo, Yanhong Zhang, Huaguang Northeastern Univ Sch Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China
In this paper, an approximate optimal control method based on adaptive dynamic programming(ADP) is discussed for completely unknown nonlinear system. An online critic-action-identifier algorithm is developed using neu... 详细信息
来源: 评论
A Data-based Online reinforcement learning Algorithm with High-efficient Exploration
A Data-based Online Reinforcement Learning Algorithm with Hi...
收藏 引用
ieee symposium on adaptive dynamic programming and reinforcement learning (adprl)
作者: Zhu, Yuanheng Zhao, Dongbin Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China
An online reinforcement learning algorithm is proposed in this paper to directly utilizes online data efficiently for continuous deterministic systems without system parameters. The dependence on some specific approxi... 详细信息
来源: 评论
adaptive dynamic programming-based optimal tracking control for nonlinear systems using general value iteration
Adaptive dynamic programming-based optimal tracking control ...
收藏 引用
ieee symposium on adaptive dynamic programming and reinforcement learning (adprl)
作者: Lin, Xiaofeng Ding, Qiang Kong, Weikai Song, Chunning Huang, Qingbao Guangxi Univ Sch Elect Engn Nanning Peoples R China
For the optimal tracking control problem of affine nonlinear systems, a general value iteration algorithm based on adaptive dynamic programming is proposed in this paper. By system transformation, the optimal tracking... 详细信息
来源: 评论