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Neuro-optimal control for a class of unknown nonlinear dynamic systems using SN-DHP technique 期刊论文
NEUROCOMPUTING, 2013, 卷号: 121, 页码: 218-225
Authors:  Wang, Ding;  Liu, Derong
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Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Neural Networks  Optimal Control  Reinforcement Learning  
Adaptive optimal control for a class of continuous-time affine nonlinear systems with unknown internal dynamics 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2013, 卷号: 23, 期号: 7-8, 页码: 1843-1850
Authors:  Liu, Derong;  Yang, Xiong;  Li, Hongliang
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Adaptive Dynamic Programming  Reinforcement Learning  Policy Iteration  Adaptive Optimal Control  Neural Network  Online Control  Nonlinear System  
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
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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 supervised Actor-Critic approach for adaptive cruise control 期刊论文
SOFT COMPUTING, 2013, 卷号: 17, 期号: 11, 页码: 2089-2099
Authors:  Zhao, Dongbin;  Wang, Bin;  Liu, Derong
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Supervised Reinforcement Learning  Actor-critic  Adaptive Cruise Control  Uniformly Ultimate Bounded  Neural Networks  
复杂环境下人群流量监控关键技术研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2013
Authors:  李静雯
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行人计数  视频监控  自适应学习  复杂环境  多摄像机  Pedestrian Counting  Video Surveillance  Adaptive Learning  Complex Environment  Multiple Cameras  
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