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出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Wang, Ding
;
Ha, Mingming
;
Cheng, Long
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浏览/下载:301/0
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提交时间:2022/01/27
Trajectory
Heuristic algorithms
Convergence
Trajectory tracking
Stability criteria
Optimal control
Dynamic programming
Adaptive critic design
discrete-time nonlinear plants
neuro-optimal trajectory tracking
uniformly ultimately bounded stability
value iteration
Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5245-5256
作者:
Wei, Qinglai
;
Wang, Lingxiao
;
Liu, Yu
;
Polycarpou, Marios M.
Adobe PDF(4019Kb)
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浏览/下载:392/88
  |  
提交时间:2021/03/08
Elevators
Optimal control
Backpropagation
Machine learning
Neural networks
Learning (artificial intelligence)
Actor
–critic
adaptive dynamic programming
deep learning (DL)
elevator group control (EGC)
optimal control
reinforcement learning (RL)
Adaptive Constrained Optimal Control Design for Data-Based Nonlinear Discrete-Time Systems With Critic-Only Structure
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 6, 页码: 2099-2111
作者:
Luo, Biao
;
Liu, Derong
;
Wu, Huai-Ning
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Adobe PDF(1045Kb)
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浏览/下载:404/124
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提交时间:2018/10/10
Adaptive Control
Adaptive Dynamic Programming
Constraints
Critic-only
Data-based
Optimal Control
Q-learning
Model-Free Optimal Tracking Control via Critic-Only Q-Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 10, 页码: 2134-2144
作者:
Luo, Biao
;
Liu, Derong
;
Huang, Tingwen
;
Wang, Ding
;
Luo,Biao
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Adobe PDF(1521Kb)
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浏览/下载:620/299
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提交时间:2016/10/24
Critic-only Q-learning (Coql)
Model-free
Nonaffine Nonlinear Systems
Optimal Tracking Control
Adaptive Optimal Control of Highly Dissipative Nonlinear Spatially Distributed Processes With Neuro-Dynamic Programming
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 4, 页码: 684-696
作者:
Luo, Biao
;
Wu, Huai-Ning
;
Li, Han-Xiong
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Adobe PDF(2465Kb)
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浏览/下载:389/129
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提交时间:2016/03/30
Adaptive Optimal Control
Empirical Eigenfunction (Eef)
Highly Dissipative Partial Differential Equations (Pdes)
Neuro-dynamic Programming (Ndp)
Spatially Distributed Processes (Sdps)
Infinite Horizon Self-Learning Optimal Control of Nonaffine Discrete-Time Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 4, 页码: 866-879
作者:
Wei, Qinglai
;
Liu, Derong
;
Yang, Xiong
Adobe PDF(2408Kb)
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浏览/下载:314/127
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提交时间:2015/09/21
Adaptive Critic Designs
Adaptive Dynamic Programming (Adp)
Approximate Dynamic Programming
Generalized Policy Iteration
Neural Networks (Nns)
Neurodynamic Programming
Nonlinear Systems
Optimal Control
Reinforcement Learning
MEC-A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 2, 页码: 346-356
作者:
Zhao, Dongbin
;
Zhu, Yuanheng
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Adobe PDF(2156Kb)
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浏览/下载:304/118
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提交时间:2015/09/18
Efficient Exploration
Probably Approximately Correct (Pac)
Reinforcement Learning (Rl)
State Aggregation
Error Bounds of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 6, 页码: 1323-1334
作者:
Liu, Derong
;
Li, Hongliang
;
Wang, Ding
Adobe PDF(1114Kb)
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浏览/下载:316/98
  |  
提交时间:2015/09/17
Adaptive Critic Designs
Adaptive Dynamic Programming (Adp)
Approximate Dynamic Programming
Neural Networks
Neurodynamic Programming
Nonlinear Systems
Optimal Control
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 3, 页码: 621-634
作者:
Liu, Derong
;
Wei, Qinglai
Adobe PDF(2635Kb)
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浏览/下载:243/95
  |  
提交时间:2015/08/12
Adaptive Critic Designs
Adaptive Dynamic Programming (Adp)
Approximate Dynamic Programming
Discrete-time Policy Iteration
Neural Networks
Neurodynamic Programming
Nonlinear Systems
Optimal Control
Reinforcement Learning