CASIA OpenIR

浏览/检索结果: 共13条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Research on the implementation of average speed for a bionic robotic dolphin 期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2015, 卷号: 74, 页码: 184-194
作者:  Ren Guang;  Dai Yaping;  Cao Zhiqiang;  Shen Fei
浏览  |  Adobe PDF(1107Kb)  |  收藏  |  浏览/下载:318/81  |  提交时间:2016/01/18
Robotic Dolphin  Kemc  Average Speed  Iterative Learning Identification  Adaptive Control  
Generalized Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 卷号: 45, 期号: 12, 页码: 1577-1591
作者:  Liu, Derong;  Wei, Qinglai;  Yan, Pengfei
Adobe PDF(1540Kb)  |  收藏  |  浏览/下载:217/66  |  提交时间:2016/03/19
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Generalized Policy Iteration  Neural Networks  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning  
A novel policy iteration based deterministic Q-learning for discrete-time nonlinear systems 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2015, 卷号: 58, 期号: 12, 页码: 122203:1–122203:15
作者:  Wei QingLai;  Liu DeRong;  Derong Liu
浏览  |  Adobe PDF(1215Kb)  |  收藏  |  浏览/下载:288/119  |  提交时间:2016/03/19
Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Q-learning  Policy Iteration  Neural Networks  Nonlinear Systems  Optimal Control  
Nonlinear neuro-optimal tracking control via stable iterative Q-learning algorithm 期刊论文
NEUROCOMPUTING, 2015, 卷号: 168, 期号: x, 页码: 520-528
作者:  Wei, Qinglai;  Song, Ruizhuo;  Sun, Qiuye;  Qinglai Wei
浏览  |  Adobe PDF(2222Kb)  |  收藏  |  浏览/下载:601/236  |  提交时间:2015/09/23
Adaptive Dynamic Programming  Approximate  Dynamic Programming  Q-learning  Optimal Tracking Control  Neural Networks  
Reinforcement learning solution for HJB equation arising in constrained optimal control problem 期刊论文
NEURAL NETWORKS, 2015, 卷号: 71, 期号: 0, 页码: 150-158
作者:  Luo, Biao;  Wu, Huai-Ning;  Huang, Tingwen;  Liu, Derong
浏览  |  Adobe PDF(530Kb)  |  收藏  |  浏览/下载:445/195  |  提交时间:2016/03/30
Constrained Optimal Control  Data-based  Off-policy Reinforcement Learning  Hamilton-jacobi-bellman Equation  The Method Of Weighted Residuals  
Scalable Multi-objects meta-level coordinated learning in Internet of Things 期刊论文
Personal and Ubiquitous Computing, 2015, 卷号: 19, 期号: 7, 页码: 1133–1144
作者:  Wang JP(王军平);  JUNPING WANG
浏览  |  Adobe PDF(3565Kb)  |  收藏  |  浏览/下载:292/105  |  提交时间:2016/10/20
Coordinated  Multi-objects System  Meta-level Control  Coordinated Learning  
Direct adaptive control for a class of discrete-time unknown nonaffine nonlinear systems using neural networks 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2015, 卷号: 25, 期号: 12, 页码: 1844-1861
作者:  Yang, Xiong;  Liu, Derong;  Wei, Qinglai;  Wang, Ding
浏览  |  Adobe PDF(1488Kb)  |  收藏  |  浏览/下载:237/78  |  提交时间:2015/09/23
Adaptive Control  Discrete-time  Nonaffine System  Nn  Feedback Control  Online Learning  Mimo  Lyapunov Method  
Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2015, 卷号: 45, 期号: 7, 页码: 1372-1385
作者:  Liu, Derong;  Yang, Xiong;  Wang, Ding;  Wei, Qinglai
浏览  |  Adobe PDF(1179Kb)  |  收藏  |  浏览/下载:461/242  |  提交时间:2015/09/17
Approximate Dynamic Programming (Adp)  Neural Networks (Nns)  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning (Rl)  Robust Control  
基于监督式自适应动态规划的车辆智能巡航控制 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2015
作者:  王滨
Adobe PDF(2069Kb)  |  收藏  |  浏览/下载:740/2  |  提交时间:2015/09/02
自适应巡航控制  自适应动态规划  监督式强化学习  智能控制  Dspace  Adaptive Cruise Control  Adaptive Dynamic Programming  Supervised Reinforcement Learning  Intelligent Control  Dspace  
连续状态系统的近似最优在线强化学习 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2015
作者:  朱圆恒
Adobe PDF(2679Kb)  |  收藏  |  浏览/下载:485/0  |  提交时间:2015/09/02
强化学习  最优控制  近似策略迭代  概率近似最优  连续状态系统  收敛性  在线学习  Kd树  Reinforcement Learning  Optimal Control  Approximate Policy Iteration  Probably Approximately Correct  Continuous-state System  Convergence  Online Learning  Kd-tree