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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:115/41  |  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  
Online reinforcement learning control by Bayesian inference 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 12, 页码: 1331-1338
Authors:  Xia, Zhongpu;  Zhao, Dongbin;  Dongbin Zhao
View  |  Adobe PDF(1559Kb)  |  Favorite  |  View/Download:119/43  |  Submit date:2016/06/15
Learning Systems  Bayes Methods  Gaussian Processes  Optimal Control  Online Reinforcement Learning Control  Bayesian Inference  Self-learning Control  Probability  Action Value Function  Gaussian Process  Bayesian-state-action-reward-state-action Algorithm  
Using reinforcement learning techniques to solve continuous-time non-linear optimal tracking problem without system dynamics 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 12, 页码: 1339-1347
Authors:  Zhu, Yuanheng;  Zhao, Dongbin;  Li, Xiangjun
View  |  Adobe PDF(976Kb)  |  Favorite  |  View/Download:154/69  |  Submit date:2016/12/26
Nonlinear Control Systems  Continuous Time Systems  Learning (Artificial Intelligence)  Optimal Control  Dynamic Programming  Lyapunov Methods  Linear Systems  Reinforcement Learning  Continuous-time Problem  Nonlinear Optimal Tracking Problem  Adaptive Dynamic Programming  Model-free Adaptive Optimal Tracking Algorithm  Lyapunov Analysis  Linear System  
Finite horizon optimal tracking control of partially unknown linear continuous-time systems using policy iteration 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2015, 卷号: 9, 期号: 12, 页码: 1791-1801
Authors:  Li, Chao;  Liu, Derong;  Li, Hongliang
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Optimal Tracking Control  
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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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:60/24  |  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