中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [7]
数学与系统科学研究院 [2]
采集方式
OAI收割 [9]
内容类型
期刊论文 [9]
发表日期
2024 [1]
2022 [3]
2021 [2]
2019 [1]
2018 [1]
2017 [1]
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Nearly optimal stabilization of unknown continuous-time nonlinear systems: A new parallel control approach
期刊论文
OAI收割
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:12/0
  |  
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
A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems
期刊论文
OAI收割
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:22/0
  |  
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
OAI收割
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
  |  
收藏
  |  
浏览/下载:41/0
  |  
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)
Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 卷号: 20, 期号: 1, 页码: 334-348
作者:
Zhang, Chi
;
Zou, Wei
;
Cheng, Ningbo
;
Gao, Junshan
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/03/17
Fault-tolerant control (FTC)
integral sliding mode control (ISMC)
neural network (NN)
nonlinear control system
reinforcement learning (RL)
A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler-Turbine Systems
期刊论文
OAI收割
OPTIMAL CONTROL APPLICATIONS & METHODS, 2021, 页码: 16
作者:
Wei, Qinglai
;
Liu, Yujia
;
Lu, Jingwei
;
Ling, Jun
;
Luan, Zhenhua
  |  
收藏
  |  
浏览/下载:38/0
  |  
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
OAI收割
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 10
作者:
Zhang, Kun
;
Su, Rong
;
Zhang, Huaguang
  |  
收藏
  |  
浏览/下载:37/0
  |  
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
OAI收割
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:105/0
  |  
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
Comprehensive comparison of online ADP algorithms for continuous-time optimal control
期刊论文
OAI收割
ARTIFICIAL INTELLIGENCE REVIEW, 2018, 卷号: 49, 期号: 4, 页码: 531-547
作者:
Zhu, Yuanheng
;
Zhao, Dongbin
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2017/09/13
Adaptive Dynamic Programming
Policy Iteration
Integral Reinforcement Learning
Experience Replay
Off-policy
Off-Policy Integral Reinforcement Learning Method to Solve Nonlinear Continuous-Time Multiplayer Nonzero-Sum Games
期刊论文
OAI收割
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:30/0
  |  
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