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Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming 期刊论文
NEUROCOMPUTING, 2017, 卷号: 266, 页码: 128-140
Authors:  Huang, Yuzhu;  Wang, Ding;  Liu, Derong
Adobe PDF(1876Kb)  |  Favorite  |  View/Download:49/6  |  Submit date:2018/03/03
Neural Networks  Optimal Control  Adaptive Dynamic Programming  Bounded Robust Control  Uncertain Nonlinear Systems  
A novel neural optimal control framework with nonlinear dynamics: Closed-loop stability and simulation verification 期刊论文
NEUROCOMPUTING, 2017, 卷号: 266, 页码: 353-360
Authors:  Wang, Ding;  Mu, Chaoxu
Adobe PDF(1503Kb)  |  Favorite  |  View/Download:56/5  |  Submit date:2018/03/03
Adaptive Dynamic Programming  Adaptive System  Learning Control  Neural Network  Optimal Regulator  Stability  
Adaptive tracking control for a class of continuous-time uncertain nonlinear systems using the approximate solution of HJB equation 期刊论文
NEUROCOMPUTING, 2017, 卷号: 260, 页码: 432-442
Authors:  Mu, Chaoxu;  Sun, Changyin;  Wang, Ding;  Song, Aiguo
Adobe PDF(1555Kb)  |  Favorite  |  View/Download:71/16  |  Submit date:2017/09/12
Adaptive Tracking Control  Hamilton-jacobi-bellman (Hjb) Equation  Adaptive Dynamic Programming (Adp)  Neural Networks  Uncertainties  
Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties 期刊论文
NEUROCOMPUTING, 2017, 卷号: 245, 页码: 46-54
Authors:  Mu, Chaoxu;  Wang, Ding
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Adaptive Dynamic Programming (Adp)  Guaranteed Cost Control  Neural Networks  Uncertain Dynamics  Stability  
Neural-network-based synchronous iteration learning method for multi-player zero-sum games 期刊论文
NEUROCOMPUTING, 2017, 卷号: 242, 页码: 73-82
Authors:  Song, Ruizhuo;  Wei, Qinglai;  Song, Biao
Favorite  |  View/Download:166/0  |  Submit date:2017/09/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Adaptive Critic Designs  Multi-player  Iteration Learning  Neural Network  
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs 期刊论文
NEUROCOMPUTING, 2017, 卷号: 238, 期号: *, 页码: 377-386
Authors:  Zhang, Qichao;  Zhao, Dongbin;  Zhu, Yuanheng
View  |  Adobe PDF(1508Kb)  |  Favorite  |  View/Download:158/84  |  Submit date:2017/05/04
Adaptive Dynamic Programming  Optimal Control  Neural Network  Fully Cooperative Games  Data-driven  Constrained Input  
Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 页码: 297-306
Authors:  Wang, Ding;  Liu, Derong;  Mu, Chaoxu;  Ma, Hongwen
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Adaptive Dynamic Programming  Decentralized Control  Guaranteed Cost Control  Interconnected Systems  Learning Control  Neural Networks  Optimal Control  Uncertain Plant  
Event-based input-constrained nonlinear H infinity state feedback with adaptive critic and neural implementation 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 期号: *, 页码: 848-856
Authors:  Wang, Ding;  Mu, Chaoxu;  Zhang, Qichao;  Liu, Derong
View  |  Adobe PDF(1090Kb)  |  Favorite  |  View/Download:66/28  |  Submit date:2017/02/14
Adaptive Critic Learning (Acl)  Adaptive Dynamic Programming (Adp)  Event-based Control  Hamilton-jacobi-isaacs (Hji) Equation  Input Constraints  Neural Networks  Nonlinear H-infinity Control  State Feedback  
Data-driven controller design for general MIMO nonlinear systems via virtual reference feedback tuning and neural networks 期刊论文
NEUROCOMPUTING, 2016, 卷号: 171, 页码: 815-825
Authors:  Yan, Pengfei;  Liu, Derong;  Wang, Ding;  Ma, Hongwen
View  |  Adobe PDF(603Kb)  |  Favorite  |  View/Download:183/35  |  Submit date:2016/01/18
Data-driven Control  Mimo Nonlinear Systems  Model Reference Control  Neural Networks  Virtual Reference Feedback Tuning  
Nonlinear neuro-optimal tracking control via stable iterative Q-learning algorithm 期刊论文
NEUROCOMPUTING, 2015, 卷号: 168, 期号: x, 页码: 520-528
Authors:  Wei, Qinglai;  Song, Ruizhuo;  Sun, Qiuye;  Qinglai Wei
View  |  Adobe PDF(2222Kb)  |  Favorite  |  View/Download:208/123  |  Submit date:2015/09/23
Adaptive Dynamic Programming  Approximate  Dynamic Programming  Q-learning  Optimal Tracking Control  Neural Networks