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期刊论文 [145]
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Adaptive Optimal Discrete-Time Output-Feedback Using an Internal Model Principle and Adaptive Dynamic Programming
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 131-140
作者:
Zhongyang Wang
;
Youqing Wang
;
Zdzisław Kowalczuk
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浏览/下载:0/0
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提交时间:2024/01/02
Adaptive dynamic programming (ADP)
internal model principle (IMP)
output feedback problem
policy iteration (PI)
value iteration (VI)
Multistep Look-Ahead Policy Iteration for Optimal Control of Discrete-Time Nonlinear Systems With Isoperimetric Constraints
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:
Li, Tao
;
Wei, Qinglai
;
Wang, Fei-Yue
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  |  
浏览/下载:0/0
  |  
提交时间:2024/02/22
Performance analysis
Optimal control
Dynamic programming
Iterative algorithms
Upper bound
Measurement
Convergence
Adaptive dynamic programming (ADP)
isoperimetric constraints
nonlinear systems
optimal control
policy iteration
Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11
作者:
Li, Hongyang
;
Wei, Qinglai
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  |  
浏览/下载:6/0
  |  
提交时间:2023/11/17
Index Terms- Output cluster synchronization control
data-driven control
adaptive dynamic programming
policy iteration
heterogeneous multi-agent systems
optimal control
Continuous-Time Stochastic Policy Iteration of Adaptive Dynamic Programming
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:
Wei, Qinglai
;
Zhou, Tianmin
;
Lu, Jingwei
;
Liu, Yu
;
Su, Shuai
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  |  
浏览/下载:4/0
  |  
提交时间:2023/11/17
Adaptive dynamic programming (ADP)
Hamilton-Jacobi-Bellman equation (HJBE)
nonlinear stochastic system
stochastic policy iteration (PI)
Optimal Strategy for Aircraft Pursuit-Evasion Games via Self-Play Iteration
期刊论文
Machine Intelligence Research, 2023, 页码: 1-12
作者:
Wang Xin
;
Wei Qinglai
;
Li Tao
;
Zhang Jie
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浏览/下载:7/0
  |  
提交时间:2023/06/26
Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1797-1809
作者:
Ding Wang
;
Jiangyu Wang
;
Mingming Zhao
;
Peng Xin
;
Junfei Qiao
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  |  
浏览/下载:5/0
  |  
提交时间:2023/08/10
Adaptive critic
artificial neural networks
Hamilton-Jacobi-Bellman (HJB) equation
multi-step heuristic dynamic programming
multi-step reinforcement learning
optimal control
A Novel Data-Based Fault-Tolerant Control Method for Multicontroller Linear Systems via Distributed Policy Iteration
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 11
作者:
Wei, Qinglai
;
Li, Hongyang
;
Li, Tao
;
Wang, Fei-Yue
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  |  
浏览/下载:12/0
  |  
提交时间:2023/02/22
Fault tolerant systems
Fault tolerance
Linear systems
Control systems
Actuators
Optimal control
Mathematical models
Distributed policy iteration
fault-tolerant control
multicontroller linear systems
optimal control
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
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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:14/0
  |  
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)
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241
作者:
Zhu, Yuanheng
;
Zhao, Dongbin
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  |  
浏览/下载:15/0
  |  
提交时间:2022/06/10
Games
Nash equilibrium
Mathematical model
Markov processes
Convergence
Dynamic programming
Training
Deep reinforcement learning (DRL)
generalized policy iteration (GPI)
Markov game (MG)
Nash equilibrium
Q network
zero sum
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