Identification and control using a hybrid reinforcement learning system

被引：0
|
作者：
Mills, Peter M.
Tade, Moses O.
Zomaya, Albert Y.
机构：
来源：
International Journal in Computer Simulation | / 5卷 / 02期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Robot Position/Force Control in Unknown Environment Using Hybrid Reinforcement Learning
    Perrusquia, Adolfo
    Yu Wen
    CYBERNETICS AND SYSTEMS, 2020, 51 (04) : 542 - 560
  • [22] Enhancing HVAC Control Efficiency: A Hybrid Approach Using Imitation and Reinforcement Learning
    Kadamala, Kevlyn
    Chambers, Des
    Barrett, Enda
    MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES-APPLIED DATA SCIENCE TRACK, PT IX, ECML PKDD 2024, 2024, 14949 : 256 - 270
  • [23] Adaptive Power System Emergency Control Using Deep Reinforcement Learning
    Huang, Qiuhua
    Huang, Renke
    Hao, Weituo
    Tan, Jie
    Fan, Rui
    Huang, Zhenyu
    IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (02) : 1171 - 1182
  • [24] A study on the control of Nonlinear system using growing RBFN and reinforcement learning
    Cho, Hyun-Seob
    ICNC 2007: Third International Conference on Natural Computation, Vol 5, Proceedings, 2007, : 521 - 525
  • [25] Tuning of PID Controllers Using Reinforcement Learning for Nonlinear System Control
    Bujgoi, Gheorghe
    Sendrescu, Dorin
    PROCESSES, 2025, 13 (03)
  • [26] PSS Control of Multi Machine Power System Using Reinforcement Learning
    Xie, Xingwang
    2021 5TH INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES (ICRAS 2021), 2021, : 125 - 128
  • [27] Control of an Acrobot system using reinforcement learning with probabilistic policy search
    Snehal, N.
    Pooja, W.
    Sonam, K.
    Wagh, S. R.
    Singh, N. M.
    2021 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE (ANZCC), 2021, : 68 - 73
  • [28] Attitude Control of a Nanosatellite system using Reinforcement Learning and Neural Networks
    Yadava, Deigant
    Hosangadi, Raunak
    Krishna, Sai
    Paliwal, Pranjal
    Jain, Avi
    2018 IEEE AEROSPACE CONFERENCE, 2018,
  • [29] Adaptive Control of a Mechatronic System Using Constrained Residual Reinforcement Learning
    Staessens, Tom
    Lefebvre, Tom
    Crevecoeur, Guillaume
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (10) : 10447 - 10456
  • [30] Using reinforcement learning for engine control
    Schoknecht, R
    Riedmiller, M
    NINTH INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS (ICANN99), VOLS 1 AND 2, 1999, (470): : 329 - 334
12345