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Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach 会议论文
, Budapest, Hungary, July 14-19, 2019
Authors:  Xiong Tianyi;  Pu Zhiqiang;  Yi Jianqiang;  Sui Zezhi
View  |  Adobe PDF(548Kb)  |  Favorite  |  View/Download:19/6  |  Submit date:2019/05/07
Formation Control  Minimal Learning Parameter  Multi-agent System  Neural Network  
Adaptive Q-Learning for Data-Based Optimal Output Regulation With Experience Replay 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3337-3348
Authors:  Luo, Biao;  Yang, Yin;  Liu, Derong
Favorite  |  View/Download:15/0  |  Submit date:2019/01/08
Data-based  experience replay  neural networks (NNs)  off-policy  optimal control  Q-learning (QL)  
Decentralized control for large-scale nonlinear systems with unknown mismatched interconnections via policy iteration 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 卷号: 48, 期号: 10, 页码: 1725-1735
Authors:  Zhao B(赵博);  Ding Wang
View  |  Adobe PDF(768Kb)  |  Favorite  |  View/Download:78/15  |  Submit date:2018/10/14
Adaptive Dynamic Programming  Decentralized Control  Large-scale Systems  Neural Networks  
Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 463, 页码: 307-322
Authors:  Yang, Xiong;  He, Haibo;  Wei, Qinglai;  Luo, Biao
Favorite  |  View/Download:34/0  |  Submit date:2018/10/10
Adaptive Dynamic Programming  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  Unmatched Uncertainty  
Adaptive dynamic programming-based stabilization of nonlinear systems with unknown actuator saturation 期刊论文
NONLINEAR DYNAMICS, 2018, 卷号: 93, 期号: 4, 页码: 2089-2103
Authors:  Zhao, Bo;  Jia, Lihao;  Xia, Hongbing;  Li, Yuanchun
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Adaptive Dynamic Programming  Unknown Actuator Saturation  Continuous-time Nonlinear Systems  Stabilizing Control  Neural Networks  
Policy Iteration Algorithm Based Fault Tolerant Tracking Control: An Implementation on Reconfigurable Manipulators 期刊论文
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2018, 卷号: 13, 期号: 4, 页码: 1739-1750
Authors:  Li, Yuanchun;  Xia, Hongbing;  Zhao, Bo
View  |  Adobe PDF(708Kb)  |  Favorite  |  View/Download:51/6  |  Submit date:2018/10/10
Adaptive Dynamic Programming  Policy Iteration  Fault Tolerant Tracking Control  Reconfigurable Manipulators  Neural Network  
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
Authors:  Wang, Ding;  Liu, Derong
Favorite  |  View/Download:24/0  |  Submit date:2018/10/10
Adaptive Critic Designs  Adaptive Dynamic Programming  Event-triggered Control  Neural Networks  Robust Stabilization  Uncertainties  
Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Convergence Analysis 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 6, 页码: 875-891
Authors:  Wei, Qinglai;  Lewis, Frank L.;  Liu, Derong;  Song, Ruizhuo;  Lin, Hanquan
Favorite  |  View/Download:55/0  |  Submit date:2017/02/23
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Local Iteration  Neural Networks  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  
Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control 期刊论文
NEUROCOMPUTING, 2018, 卷号: 289, 页码: 144-154
Authors:  Li, Yueheng;  Luo, Biao;  Liu, Derong;  Yang, Zhanyu
Favorite  |  View/Download:30/0  |  Submit date:2018/10/10
Memristive Neural Networks  Robust Synchronization  Mismatch Characteristics  Pinning Control  
Connectivity preserved nonlinear time-delayed multiagent systems using neural networks and event-based mechanism 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2018, 卷号: 29, 期号: 9, 页码: 361-369
Authors:  Ma, Hongwen;  Wang, Ding;  Ding Wang
View  |  Adobe PDF(1038Kb)  |  Favorite  |  View/Download:70/17  |  Submit date:2017/05/03
Connectivity Preservation  Event-based Control  Multiagent Systems  Neural Networks