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Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36
作者:
Ding Wang
;
Ning Gao
;
Derong Liu
;
Jinna Li
;
Frank L. Lewis
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  |  
浏览/下载:9/0
  |  
提交时间:2024/01/02
Adaptive dynamic programming (ADP)
advanced control
complex environment
data-driven control
event-triggered design
intelligent control
neural networks
nonlinear systems
optimal control
reinforcement learning (RL)
Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1262-1272
作者:
Mingming Ha
;
Ding Wang
;
Derong Liu
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  |  
浏览/下载:11/0
  |  
提交时间:2022/06/27
Adaptive critic design
adaptive dynamic programming (ADP)
approximate dynamic programming
discrete-time nonlinear systems
reinforcement learning
stability analysis
tracking control
value iteration (VI)
Model-Free H-infinity Optimal Tracking Control of Constrained Nonlinear Systems via an Iterative Adaptive Learning Algorithm
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 11, 页码: 4097-4108
作者:
Hou, Jiaxu
;
Wang, Ding
;
Liu, Derong
;
Zhang, Yun
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  |  
浏览/下载:37/0
  |  
提交时间:2021/01/07
Adaptive dynamic programming (ADP)
control constraints
convergence analysis
H-infinity tracking
neural network (NN)
optimal control
Event-Triggered Adaptive Critic Control Design for Discrete-Time Constrained Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 9, 页码: 3158-3168
作者:
Ha, Mingming
;
Wang, Ding
;
Liu, Derong
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  |  
浏览/下载:7/0
  |  
提交时间:2020/09/28
Nonlinear systems
Actuators
Discrete-time systems
Dynamic programming
Optimal control
Adaptive systems
Adaptive dynamic programming (ADP)
control constraints
event-triggered control
heuristic dynamic programming (HDP)
neural networks
nonlinear discrete-time system
Improved value iteration for neural-network-based stochastic optimal control design
期刊论文
NEURAL NETWORKS, 2020, 卷号: 124, 页码: 280-295
作者:
Liang, Mingming
;
Wang, Ding
;
Liu, Derong
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  |  
浏览/下载:55/0
  |  
提交时间:2020/06/02
Adaptive critic designs
Adaptive dynamic programming
Neural networks
Optimal control
Stochastic processes
Value iteration
Neuro-optimal control for discrete stochastic processes via a novel policy iteration algorithm
期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 卷号: 50, 期号: 11, 页码: 3972-3985
作者:
Liang, Mingming
;
Wang, Ding
;
Liu, Derong
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  |  
浏览/下载:19/0
  |  
提交时间:2020/10/23
Adaptive critic designs
adaptive dynamic programming (ADP)
local policy iteration
neuro-dynamic programming
optimal control
stochastic processes
Subcellular distribution and chemical forms of lead in the red algae, Porphyra yezoensis
期刊论文
CHEMOSPHERE, 2019, 卷号: 227, 页码: 172-178
作者:
Zhao, Yanfang[1]
;
Shang, Derong[2]
;
Ning, Jinsong[3]
;
Zhai, Yuxiu[4]
;
Sheng, Xiaofeng[5]
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  |  
浏览/下载:3/0
  |  
提交时间:2020/01/02
Porphyra yezoensis
Lead
Subcellular distribution
Chemical forms
Learning and Guaranteed Cost Control With Event-Based Adaptive Critic Implementation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 12, 页码: 6004-6014
作者:
Wang, Ding
;
Liu, Derong
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  |  
浏览/下载:41/0
  |  
提交时间:2019/07/12
Adaptive dynamic programming
event-based design
guaranteed cost control
optimal control
self-learning technique
Neural robust stabilization via event-triggering mechanism and adaptive learning technique
期刊论文
NEURAL NETWORKS, 2018, 卷号: 102, 页码: 27-35
作者:
Wang, Ding
;
Liu, Derong
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  |  
浏览/下载:25/0
  |  
提交时间:2018/10/10
Adaptive Critic Designs
Adaptive Dynamic Programming
Event-triggered Control
Neural Networks
Robust Stabilization
Uncertainties
Manifold Regularized Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 932-943
作者:
Li, Hongliang
;
Liu, Derong
;
Wang, Ding
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  |  
浏览/下载:34/0
  |  
提交时间:2018/10/10
Adaptive Dynamic Programming
Approximate Dynamic Programming
Approximate Policy Iteration (Api)
Manifold Regularization
Reinforcement Learning (Rl)
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