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科研机构
自动化研究所 [9]
数学与系统科学研究院 [2]
华南理工大学 [1]
上海大学 [1]
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期刊论文 [11]
会议 [1]
会议论文 [1]
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2024 [1]
2023 [1]
2022 [2]
2021 [2]
2019 [1]
2017 [3]
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浏览/检索结果:
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Nearly optimal stabilization of unknown continuous-time nonlinear systems: A new parallel control approach
期刊论文
NEUROCOMPUTING, 2024, 卷号: 578, 页码: 12
作者:
Lu, Jingwei
;
Wang, Xingxia
;
Wei, Qinglai
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/07/03
Adaptive dynamic programming (ADP)
Integral reinforcement learning (IRL)
Nearly optimal control
Nonaffine nonlinearity
Parallel control
Unknown nonlinear systems
Communication-Aware Formation Control of AUVs With Model Uncertainty and Fading Channel via Integral Reinforcement Learning
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 159-176
作者:
Wenqiang Cao
;
Jing Yan
;
Xian Yang
;
Xiaoyuan Luo
;
Xinping Guan
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2023/01/03
Autonomous underwater vehicles (AUVs)
communication-aware
formation
reinforcement learning
uncertainty
A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems
期刊论文
NEUROCOMPUTING, 2022, 卷号: 483, 页码: 361-369
作者:
Zhong, Weifeng
;
Wang, Mengxuan
;
Wei, Qinglai
;
Lu, Jingwei
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/06/10
Integral reinforcement learning
Nuclear power reactor
Nonlinear system
Optimal tracking control
Neural networks
Model-Free Reinforcement Learning by Embedding an Auxiliary System for Optimal Control of Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 4, 页码: 1520-1534
作者:
Xu, Zhenhui
;
Shen, Tielong
;
Cheng, Daizhan
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  |  
浏览/下载:16/0
  |  
提交时间:2022/06/21
Mathematical model
Trajectory
Heuristic algorithms
Optimal control
System dynamics
Artificial neural networks
Convergence
Approximate optimal control design
auxiliary trajectory
completely model-free
integral reinforcement learning (IRL)
A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler-Turbine Systems
期刊论文
OPTIMAL CONTROL APPLICATIONS & METHODS, 2021, 页码: 16
作者:
Wei, Qinglai
;
Liu, Yujia
;
Lu, Jingwei
;
Ling, Jun
;
Luan, Zhenhua
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  |  
浏览/下载:29/0
  |  
提交时间:2021/12/28
adaptive dynamic programming
boiler-turbine system
integral reinforcement learning
neural network
policy iteration
A Novel Resilient Control Scheme for a Class of Markovian Jump Systems With Partially Unknown Information
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 10
作者:
Zhang, Kun
;
Su, Rong
;
Zhang, Huaguang
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/04/02
Games
Process control
Markov processes
Game theory
Actuators
System dynamics
Heuristic algorithms
Adaptive dynamic programming
integral reinforcement learning (IRL)
resilient control
zero-sum game
Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 8, 页码: 2874-2885
作者:
Zhang, Qichao
;
Zhao, Dongbin
收藏
  |  
浏览/下载:95/0
  |  
提交时间:2019/07/12
Integral reinforcement learning (IRL)
neural network (NN)
nonzero-sum (NZS) games
off-policy
single-critic
unknown drift dynamics
Off-Policy Integral Reinforcement Learning Method to Solve Nonlinear Continuous-Time Multiplayer Nonzero-Sum Games
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 3, 页码: 704-713
作者:
Song, Ruizhuo
;
Lewis, Frank L.
;
Wei, Qinglai
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2017/05/05
Adaptive Critic Designs
Adaptive Dynamic Programming (Adp)
Approximate Dynamic Programming
Integral Reinforcement Learning (Irl)
Nonlinear Systems
Nonzero Sum (Nzs)
Off-policy
Event-triggered integral reinforcement learning for nonlinear continuous-time systems
会议论文
Honolulu, Hawaii, USA, Nov. 27 to Dec 1, 2017
作者:
Qichao Zhang
;
Dongbin Zhao
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2019/10/09
Adaptive Impedance Control of Human-Robot Cooperation Using Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 页码: 8013-8022
作者:
Li, Zhijun[1]
;
Liu, Junqiang[2]
;
Huang, Zhicong[3]
;
Peng, Yan[4]
;
Pu, Huayan[5]
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/04/24
Adaptive impedance control
barrier Lyapunov function (BLF)
human-robot cooperation (HRC)
integral reinforcement learning (IRL)
linear quadratic regulation (LQR)
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