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Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability 期刊论文
INFORMATION SCIENCES, 2014, 卷号: 288, 页码: 314-329
Authors:  Liu, Derong;  Yan, Pengfei;  Wei, Qinglai
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Controllability  Observability  Discrete-time Linear System  Data-based Method  Noisy Environment  
Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2014, 卷号: 44, 期号: 12, 页码: 2834-2847
Authors:  Liu, Derong;  Wang, Ding;  Wang, Fei-Yue;  Li, Hongliang;  Yang, Xiong
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Adaptive Critic Designs  Adaptive/approximate Dynamic Programming (Adp)  Hamilton-jacobi-bellman (Hjb) Equation  Neural Networks  Optimal Robust Guaranteed Cost Control  Uncertain Nonlinear Systems  
Finite-Approximation-Error-Based Discrete-Time Iterative Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2014, 卷号: 44, 期号: 12, 页码: 2820-2833
Authors:  Wei, Qinglai;  Wang, Fei-Yue;  Liu, Derong;  Yang, Xiong
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Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Approximation Error  Neural Networks  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning  Value Iteration  
Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design 期刊论文
AUTOMATICA, 2014, 卷号: 50, 期号: 12, 页码: 3281-3290
Authors:  Luo, Biao;  Wu, Huai-Ning;  Huang, Tingwen;  Liu, Derong
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Nonlinear Optimal Control  Reinforcement Learning  Off-policy  Data-based Approximate Policy Iteration  Neural Network  Hamilton-jacobi-bellman Equation  
Online approximate optimal control for affine non-linear systems with unknown internal dynamics using adaptive dynamic programming 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2014, 卷号: 8, 期号: 16, 页码: 1676-1688
Authors:  Yang, Xiong;  Liu, Derong;  Wei, Qinglai
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Learning Locality Preserving Graph from Data 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART-B, 2014, 卷号: 44, 期号: 11, 页码: 2088-2098
Authors:  Zhang, Yan-Ming;  Huang, Kaizhu;  Hou, Xinwen;  Liu, Cheng-Lin
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Data-Driven Neuro-Optimal Temperature Control of Water-Gas Shift Reaction Using Stable Iterative Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 卷号: 61, 期号: 11, 页码: 6399-6408
Authors:  Wei, Qinglai;  Liu, Derong;  Derong Liu
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Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Approximation Errors  Data-driven Control  Neural Networks (Nns)  Optimal Control  Reinforcement Learning  Water-gas Shift (Wgs)  
Determining parameter identifiability from the optimization theory framework: A Kullback-Leibler divergence approach 期刊论文
NEUROCOMPUTING, 2014, 卷号: 142, 期号: 2, 页码: 307-317
Authors:  Ran, Zhi-Yong;  Hu, Bao-Gang
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Identifiability  Optimization Theory  Kullback-leibler Divergence  Hessian Matrix  Jacobian Matrix  
Neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming 期刊论文
INFORMATION SCIENCES, 2014, 卷号: 282, 页码: 167-179
Authors:  Wang, Ding;  Liu, Derong;  Li, Hongliang;  Ma, Hongwen
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Adaptive Dynamic Programming  Approximate Dynamic Programming  Decentralized Optimal Control  Neural Network  Robust Optimal Control  
A stochastic model for budget distribution over time in search advertisements 会议论文
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatic, Qingdao, China, October 8-10, 2014
Authors:  Qin, Rui;  Yuan, Yong;  Li, Juanjuan;  Yang, Yanwu;  Rui Qin
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Search Advertisement  Budget Distribution  Optimal Budget  Stochastic Programming  Budget Constraint