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Adaptive Trajectory Tracking of Wheeled Mobile Robots Based on a Fish- Eye Camera 期刊论文
International Journal of Control, Automation and Systems, 2019, 卷号: 17, 期号: 2, 页码: 2297-2309
Authors:  Zhaobing Kang;  Wei Zou;  Hongxuan Ma;  Zheng Zhu
Adobe PDF(5266Kb)  |  Favorite  |  View/Download:17/0  |  Submit date:2020/05/09
Adaptive Control  Pose Estimation  Visual Trajectory Tracking  Wheeled Mobile Robots  
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
Authors:  Zhang, Qichao;  Zhao, Dongbin
Adobe PDF(1021Kb)  |  Favorite  |  View/Download:59/17  |  Submit date:2019/07/12
Integral reinforcement learning (IRL)  neural network (NN)  nonzero-sum (NZS) games  off-policy  single-critic  unknown drift dynamics  
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
Authors:  Luo, Biao;  Liu, Derong;  Wu, Huai-Ning
Adobe PDF(1045Kb)  |  Favorite  |  View/Download:128/44  |  Submit date:2018/10/10
Adaptive Control  Adaptive Dynamic Programming  Constraints  Critic-only  Data-based  Optimal Control  Q-learning  
Stabilization of atmospheric turbulence-distorted video containing moving objects using the monogenic signal 期刊论文
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2018, 卷号: 63, 页码: 19-29
Authors:  Zhang, Chao;  Zhou, Fugen;  Xue, Bindang;  Xue, Wenfang
Favorite  |  View/Download:58/0  |  Submit date:2018/10/10
Atmospheric Turbulence  Video Stabilization  Monogenic Signal  
Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 1, 页码: 37-50
Authors:  Zhang, Qichao;  Zhao, Dongbin;  Wang, Ding
Adobe PDF(2233Kb)  |  Favorite  |  View/Download:232/136  |  Submit date:2017/05/04
Adaptive Dynamic Programming (Adp)  Event-based Control  Neural Network (Nn)  Robust Control  Unmatched Uncertainties  
The Twist Tensor Nuclear Norm for Video Completion 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 12, 页码: 2961-2973
Authors:  Hu, Wenrui;  Tao, Dacheng;  Zhang, Wensheng;  Xie, Yuan;  Yang, Yehui;  Wensheng Zhang
Adobe PDF(24685Kb)  |  Favorite  |  View/Download:222/85  |  Submit date:2016/10/22
Low-rank Tensor Estimation (Lrte)  Tensor Multirank  Tensor Nuclear Norm (Tnn)  Twist Tensor  Video Completion  
Optimal control for discrete-time systems with actuator saturation 期刊论文
OPTIMAL CONTROL APPLICATIONS & METHODS, 2017, 卷号: 38, 期号: 6, 页码: 1071-1080
Authors:  Lin, Qiao;  Wei, Qinglai;  Zhao, Bo
Adobe PDF(348Kb)  |  Favorite  |  View/Download:147/52  |  Submit date:2017/05/04
Approximate Dynamic Programming  Discrete Time  Generalized Policy Iteration  Optimal Control  Saturating Actuators  
Improving the Critic Learning for Event-Based Nonlinear H-infinity Control Design 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3417-3428
Authors:  Wang, Ding;  He, Haibo;  Liu, Derong
Adobe PDF(1068Kb)  |  Favorite  |  View/Download:111/21  |  Submit date:2018/03/03
H-infinity Control  Adaptive Systems  Adaptive/approximate Dynamic Programming  Critic Network  Event-based Design  Learning Criterion  Neural Control  
Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3341-3354
Authors:  Luo, Biao;  Liu, Derong;  Wu, Huai-Ning;  Wang, Ding;  Lewis, Frank L.
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Adaptive Control  Adaptive Dynamic Programming (Adp)  Data-based  Off-policy Learning  Optimal Control  Policy Gradient  
Adaptive Critic Nonlinear Robust Control: A Survey 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3429-3451
Authors:  Wang, Ding;  He, Haibo;  Liu, Derong
Adobe PDF(1954Kb)  |  Favorite  |  View/Download:172/83  |  Submit date:2018/03/03
Adaptive Critic Designs  Adaptive/approximate Dynamic Programming (Adp)  Boundedness  Convergence  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  Stability