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Data-Based Optimal Control for Weakly Coupled Nonlinear Systems Using Policy Iteration 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 4, 页码: 511-521
Authors:  Li, Chao;  Liu, Derong;  Wang, Ding
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Adaptive Dynamic Programming (Adp)  Neural Networks (Nns)  Optimal Control  Policy Iteration (Pi)  Unknown Dynamics  Weakly Coupled Systems  
Distributed algorithm for dissensus of a class of networked multiagent systems using output information 期刊论文
SOFT COMPUTING, 2018, 卷号: 22, 期号: 1, 页码: 273-282
Authors:  Ma, Hongwen;  Liu, Derong;  Wang, Ding;  Yang, Xiong;  Li, Hongliang;  Derong Liu
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Distributed Control  Dissensus  Multiagent Systems  Output Feedback  
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  
Adaptive Dynamic Programming-Based Optimal Control Scheme for Energy Storage Systems With Solar Renewable Energy 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 7, 页码: 5468-5478
Authors:  Wei, Qinglai;  Shi, Guang;  Song, Ruizhuo;  Liu, Yu
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Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Energy Storage  Energy Storage System  Optimal Control  Solar Renewable Energy  
Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 5, 页码: 4110-4120
Authors:  Wei, Qinglai;  Liu, Derong;  Lewis, Frank L.;  Liu, Yu;  Zhang, Jie
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Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Mixed Iteration  Optimal Control  Policy Iteration  Smart Grid  Value Iteration  
Online identifier-actor-critic algorithm for optimal control of nonlinear systems 期刊论文
OPTIMAL CONTROL APPLICATIONS & METHODS, 2017, 卷号: 38, 期号: 3, 页码: 317-335
Authors:  Lin, Hanquan;  Wei, Qinglai;  Liu, Derong
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Adaptive Dynamic Programming  Optimal Control  Discrete-time  Nonlinear System  Neural Network  Online Learning  Lyapunov Method  
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  
Echo state network-based Q-learning method for optimal battery control of offices combined with renewable energy 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 7, 页码: 915-922
Authors:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
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Recurrent Neural Nets  Neurocontrollers  Learning (Artificial Intelligence)  Office Environment  Optimal Control  Solar Power  Energy Consumption  Time Series  Secondary Cells  Energy Management Systems  Function Approximation  Echo State Network-based Q-learning Method  Optimal Battery Control  Renewable Energy  Optimal Energy Management  Solar Energy  Energy Consumption  Energy Demand  Time Series  Real-time Electricity Rate  Periodic Functions  Q-function  Optimal Charging Strategy  Optimal Discharging Strategy  Optimal Idle Strategy  Numerical Analysis