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基于自适应动态规划方法的智能微网系统电能优化协调控制 学位论文
, 北京: 中国科学院大学, 2018
Authors:  徐延才
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智能电网  神经网络  自适应动态规划  电能管理  
Adaptive dynamic programming for robust neural control of unknown continuous-time non-linear systems 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 14, 页码: 2307-2316
Authors:  Yang, Xiong;  He, Haibo;  Liu, Derong;  Zhu, Yuanheng
View  |  Adobe PDF(2123Kb)  |  Favorite  |  View/Download:67/20  |  Submit date:2017/09/13
Dynamic Programming  Robust Control  Neurocontrollers  Continuous Time Systems  Control System Synthesis  Nonlinear Control Systems  Optimal Control  Function Approximation  Monte Carlo Methods  Closed Loop Systems  Asymptotic Stability  Adaptive Dynamic Programming  Robust Neural Control Design  Unknown Continuous-time Nonlinear Systems  Ct Nonlinear Systems  Adp-based Robust Neural Control Scheme  Robust Nonlinear Control Problem  Nonlinear Optimal Control Problem  Nominal System  Adp Algorithm  Actor-critic Dual Networks  Control Policy Approximation  Value Function Approximation  Actor Neural Network Weights  Critic Nn Weights  Monte Carlo Integration Method  Closed-loop System  Asymptotically Stability  
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
View  |  Adobe PDF(3253Kb)  |  Favorite  |  View/Download:127/22  |  Submit date:2017/02/23
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  
Adaptive Optimal Control of Highly Dissipative Nonlinear Spatially Distributed Processes With Neuro-Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 4, 页码: 684-696
Authors:  Luo, Biao;  Wu, Huai-Ning;  Li, Han-Xiong
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Adaptive Optimal Control  Empirical Eigenfunction (Eef)  Highly Dissipative Partial Differential Equations (Pdes)  Neuro-dynamic Programming (Ndp)  Spatially Distributed Processes (Sdps)  
Neural-network-based online optimal control for uncertain non-linear continuous-time systems with control constraints 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2013, 卷号: 7, 期号: 17, 页码: 2037-2047
Authors:  Yang, Xiong;  Liu, Derong;  Huang, Yuzhu
View  |  Adobe PDF(493Kb)  |  Favorite  |  View/Download:44/16  |  Submit date:2015/08/12
Adaptive Control  Approximation Theory  Closed Loop Systems  Continuous Time Systems  Lyapunov Methods  Neurocontrollers  Nonlinear Control Systems  Optimal Control  Robust Control  Uncertain Systems  Neural Network-based Online Adaptive Optimal Control  Uncertain Nonlinear Continuous-time Systems  Control Constraints  Infinite-horizon Optimal Control Problem  Control Policy  Saturation Constraints  Identifier-critic Architecture  Hamilton-jacobi-bellman Equation Approximation  Uncertain System Dynamics  Critic Nn  Action-critic Dual Networks  Reinforcement Learning  Identifier Nn  Policy Iteration  Lyapunovaeuros Direct Method  Closed Loop System Stability  
A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2013, 卷号: 22, 期号: 2, 页码: 219-227
Authors:  Wang, Ding;  Liu, Derong;  Zhao, Dongbin;  Huang, Yuzhu;  Zhang, Dehua
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Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Neural Dynamic Programming  Neural Networks  Optimal Control  Reinforcement Learning  
Approximate optimal control design for nonlinear one-dimensional parabolic PDE systems using empirical eigenfunctions and neural network 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 2012, 卷号: 42, 期号: 6, 页码: 1538-1549
Authors:  Luo, Biao;  Wu, Huai-Ning
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Approximate Optimal Control Design  
Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach 期刊论文
NEUROCOMPUTING, 2012, 卷号: 78, 期号: 1, 页码: 14-22
Authors:  Wang, Ding;  Liu, Derong;  Wei, Qinglai
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Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Finite-horizon Optimal Tracking Control  Learning Control  Neural Networks  Reinforcement Learning  
Neural-Network-Based Optimal Control for a Class of Nonlinear Discrete-Time Systems With Control Constraints Using the Iterative GDHP Algorithm 会议论文
International Joint Conference on Neural Networks (IJCNN), 2011
Authors:  Liu, DR;  Wang, D;  Zhao, DB
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An Agent-Based Controller for Vehicular Automation 会议论文
IEEE INTELLIGENT SYSTEMS, Toronto, Canada, September 17-20, 2006
Authors:  Feng He;  Fei-Yue Wang;  Shuming Tang
View  |  Adobe PDF(300Kb)  |  Favorite  |  View/Download:63/18  |  Submit date:2016/10/26
Feedback  Fuzzy Control  Mobile Agents  Neurocontrollers  Vehicles  Active Agent  Agent-based Controller  Default Agent  Fuzzy Agent  Fuzzy Controller