中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共4条，第1-4条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
Neural-Network-Based Distributed Adaptive Robust Control for a Class of Nonlinear Multiagent Systems With Time Delays and External Noises 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 卷号: 46, 期号: 6, 页码: 750-758
作者:  Ma, Hongwen;  Wang, Zhuo;  Wang, Ding;  Liu, Derong;  Yan, Pengfei;  Wei, Qinglai
Adobe PDF(880Kb)  |  收藏  |  浏览/下载：344/134  |  提交时间：2016/09/30
Distributed Adaptive Robust Control  Multiagent Systems  Neural Networks (Nns)  Noises  Time Delay  
Adaptive tracking control of leader-following linear multi-agent systems with external disturbances 期刊论文
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2016, 卷号: 47, 期号: 13, 页码: 3167-3179
作者:  Lin, Hanquan;  Wei, Qinglai;  Liu, Derong;  Ma, Hongwen
浏览  |  Adobe PDF(1462Kb)  |  收藏  |  浏览/下载：390/108  |  提交时间：2016/06/20
Multi-agent Systems  Leader-following  Riccati Inequalities  Adaptive Control  Stochastic Disturbances  
Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 2, 页码: 444-458
作者:  Wei, Qinglai;  Song, Ruizhuo;  Yan, Pengfei
浏览  |  Adobe PDF(2204Kb)  |  收藏  |  浏览/下载：414/137  |  提交时间：2016/06/14
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Neurodynamic Programming  Nonlinear Systems  Optimal Control  Recurrent Neural Network (Rnn)  Reinforcement Learning  
Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 3, 页码: 840-853
作者:  Wei, Qinglai;  Liu, Derong;  Lin, Hanquan;  Derong Liu
浏览  |  Adobe PDF(2015Kb)  |  收藏  |  浏览/下载：378/164  |  提交时间：2016/06/14
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Neural Networks  Neuro-dynamic Programming  Optimal Control  Reinforcement Learning  Value Iteration