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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
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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
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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  
Self-tuned local feedback gain based decentralized fault tolerant control for a class of large-scale nonlinear systems 期刊论文
NEUROCOMPUTING, 2017, 期号: 235, 页码: 147-156
Authors:  Zhao, Bo;  Li, Yuanchun;  Liu, Derong
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Large-scale Nonlinear Systems  Partial Loss Of Actuator Effectiveness  Decentralized Fault Tolerant Control  Self-tuned Local Feedback Gain  Neural Network  
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
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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  
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
Authors:  Luo, Biao;  Liu, Derong;  Huang, Tingwen;  Wang, Ding;  Luo,Biao
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Critic-only Q-learning (Coql)  Model-free  Nonaffine Nonlinear Systems  Optimal Tracking Control  
A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization 期刊论文
SOFT COMPUTING, 2016, 卷号: 20, 期号: 2, 页码: 707-716
Authors:  Wang, Ding;  Liu, Derong;  Li, Hongliang;  Ma, Hongwen;  Li, Chao
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Adaptive Dynamic Programming  Approximate Dynamic Programming  Neural Networks  Online Optimal Control  Robust Decentralized Stabilization  Uncertain Nonlinear Systems  
Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 2, 页码: 444-458
Authors:  Wei, Qinglai;  Song, Ruizhuo;  Yan, Pengfei
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Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Neurodynamic Programming  Nonlinear Systems  Optimal Control  Recurrent Neural Network (Rnn)  Reinforcement Learning  
Bipartite output consensus in networked multi-agent systems of high-order power integrators with signed digraph and input noises 期刊论文
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2016, 卷号: 47, 期号: 13, 页码: 3116-3131
Authors:  Ma, Hongwen;  Liu, Derong;  Wang, Ding;  Luo, Biao
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Bipartite Output Consensus  High-order  Input Noises  Networked Multi-agent Systems  Power Integrator  Signed Digraph