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Neural-Network-Based Nonlinear Model Predictive Control for Piezoelectric Actuators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 卷号: 62, 期号: 12, 页码: 7717-7727
作者:  Cheng, Long;  Liu, Weichuan;  Hou, ZengGuang;  Yu, Junzhi;  Tan, Min
浏览  |  Adobe PDF(1541Kb)  |  收藏  |  浏览/下载：733/282  |  提交时间：2016/01/18
Neuralnetworks  Nonlinearautoregressive-moving-average With Exogenous Inputs (Narmax)  Piezoelectric Actuator (Pea)  Predictive 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：221/68  |  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  
Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems 期刊论文
COGNITIVE COMPUTATION, 2015, 卷号: 7, 期号: 6, 页码: 763-771
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  He, Haibo;  Ji, Junhong
Adobe PDF(809Kb)  |  收藏  |  浏览/下载：243/38  |  提交时间：2016/01/18
Approximate Policy Iteration  Approximation Error  Optimal Control  Fuzzy Approximator  
Enhanced HMAX model with feedforward feature learning for multiclass categorization 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2015, 卷号: 9, 页码: 1-14
作者:  Li, Yinlin;  Wu, Wei;  Zhang, Bo;  Li, Fengfu
浏览  |  Adobe PDF(3664Kb)  |  收藏  |  浏览/下载：352/77  |  提交时间：2016/03/30
Hmax  Biologically Inspired  Feedforward  Saliency Map  Middle Level Patch Learning  Feature Encoding  Multiclass Categorization  
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
作者:  Li, Chao;  Liu, Derong;  Li, Hongliang
Adobe PDF(669Kb)  |  收藏  |  浏览/下载：289/90  |  提交时间：2015/09/23
Optimal Tracking Control  
Dynamic Modeling and Control Simulation of a Modified Delta Manipulator 会议论文
, 丽江, 2015-8
作者:  Jianlong Hao;  Xiaoliang Xie;  Guibin Bian;  Zengguang Hou;  Zhenqiu Feng;  Zhanjie Gao;  Hongnian Yu;  Luige Vladareanu
浏览  |  Adobe PDF(403Kb)  |  收藏  |  浏览/下载：385/147  |  提交时间：2017/06/07
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：244/80  |  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：466/243  |  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  
Hierarchical recurrent neural network for skeleton based action recognition 会议论文
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015-6
作者:  Du, Yong;  Wang, Wei;  Wang, Liang
浏览  |  Adobe PDF(393Kb)  |  收藏  |  浏览/下载：886/272  |  提交时间：2016/04/13
Hierarchical Recurrent Neural Network  Action Recognition  Skeleton  Lstm  
Error Bounds of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 6, 页码: 1323-1334
作者:  Liu, Derong;  Li, Hongliang;  Wang, Ding
Adobe PDF(1114Kb)  |  收藏  |  浏览/下载：282/83  |  提交时间：2015/09/17
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Neural Networks  Neurodynamic Programming  Nonlinear Systems  Optimal Control