Application of reinforcement learning in control system development

被引：2
|
作者：
Vichugov, VN [1 ]
Tsapko, GP [1 ]
Tsapko, SG [1 ]
机构：
[1] Tomsk Polytech Univ, Tomsk 634034, Russia
来源：
Korus 2005, Proceedings | 2005年
关键词：
D O I：
10.1109/KORUS.2005.1507888
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This paper presents application of reinforcement learning (RL) in development of automated control systems. This method was successfully applied in development of control system that controls a pendulum. Advantages and disadvantages of RL control systems are described.
引用
收藏
页码：732 / 733
页数：2
相关论文
共 50 条
  • [1] Application of deep reinforcement learning to intelligent distributed humidity control system
    Da Guo
    Danfeng Luo
    Yong Zhang
    Xiuyong Zhang
    Yuyang Lai
    Yunqi Sun
    Applied Intelligence, 2023, 53 : 16724 - 16746
  • [2] Application of deep reinforcement learning to intelligent distributed humidity control system
    Guo, Da
    Luo, Danfeng
    Zhang, Yong
    Zhang, Xiuyong
    Lai, Yuyang
    Sun, Yunqi
    APPLIED INTELLIGENCE, 2023, 53 (13) : 16724 - 16746
  • [3] Application of Reinforcement Learning to a Mining System
    Fidencio, Aline Xavier
    Glasmachers, Tobias
    Naro, Daniele
    2021 IEEE 19TH WORLD SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS (SAMI 2021), 2021, : 111 - 118
  • [4] Application of reinforcement learning for active noise control
    Hoseini Sabzevari, Seyed Amir
    Moavenian, Majid
    TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2017, 25 (04) : 2606 - 2613
  • [5] Application of reinforcement learning to dexterous robot control
    Bucak, IO
    Zohdy, MA
    PROCEEDINGS OF THE 1998 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1998, : 1405 - 1409
  • [6] Application of reinforcement learning to RC helicopter control
    Murao, H
    Tamaki, H
    Kitamura, S
    SICE 2003 ANNUAL CONFERENCE, VOLS 1-3, 2003, : 2306 - 2309
  • [7] Application of reinforcement learning in PMLM speed control
    Guo Hong-xia
    Wu Jie
    Liu Yong-qiang
    2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7, 2007, : 2411 - 2415
  • [8] Application of reinforcement learning to power system operation
    Takayama S.
    IEEJ Transactions on Power and Energy, 2021, 141 (10) : 608 - 611
  • [9] Transfer learning with Partially Constrained Models: Application to reinforcement learning of linked multicomponent robot system control
    Fernandez-Gauna, Borja
    Manuel Lopez-Guede, Jose
    Grana, Manuel
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2013, 61 (07) : 694 - 703
  • [10] Application of intelligent system based on deep reinforcement learning in electrical engineering automation control
    Wu, Zhihe
    INTERNATIONAL JOURNAL OF GRID AND UTILITY COMPUTING, 2024, 15 (3-4) : 323 - 332
12345