CASIA OpenIR

浏览/检索结果: 共5条,第1-5条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
On the Principle and Applications of Conditional Disturbance Negation 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 11, 页码: 6757-6767
作者:  Pu, Zhiqiang;  Sun, Jinlin;  Yi, Jianqiang;  Gao, Zhiqiang
Adobe PDF(1523Kb)  |  收藏  |  浏览/下载:249/36  |  提交时间:2021/12/28
Observers  Couplings  Control design  Uncertainty  System dynamics  Analytical models  Sun  Conditional disturbance negation (CDN)  coupling  disturbance rejection  information-centric control  observer  
Stability-Guaranteed Variable Impedance Control of Robots Based on Approximate Dynamic Inversion 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 7, 页码: 4193-4200
作者:  Sun, Tairen;  Peng, Liang;  Cheng, Long;  Hou, Zeng-Guang;  Pan, Yongping
收藏  |  浏览/下载:196/0  |  提交时间:2021/11/02
Approximate dynamic inversion (ADI)  impedance control  robot control  trajectory tracking  variable impedance  
无权访问的条目 期刊论文
作者:  Xiong, Fangzhou;  Sun, Biao;  Yang, Xu;  Qiao, Hong;  Huang, Kaizhu;  Hussain, Amir;  Liu, Zhiyong
Adobe PDF(1059Kb)  |  收藏  |  浏览/下载:91/7  |  提交时间:2019/07/12
Event-Triggered H-infinity Control for Continuous-Time Nonlinear System via Concurrent Learning 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 7, 页码: 1071-1081
作者:  Zhang, Qichao;  Zhao, Dongbin;  Zhu, Yuanheng
浏览  |  Adobe PDF(2937Kb)  |  收藏  |  浏览/下载:510/238  |  提交时间:2017/05/04
Concurrent Learning  Event-triggered Control  H-infinity Optimal Control  Neural Networks (Nns)  Zero-sum (Zs) Game  
Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 卷号: 46, 期号: 11, 页码: 1544-1555
作者:  Wang, Ding;  Liu, Derong;  Zhang, Qichao;  Zhao, Dongbin
Adobe PDF(1082Kb)  |  收藏  |  浏览/下载:427/193  |  提交时间:2017/02/14
Adaptive Critic Designs  Adaptive Dynamic Programming  Intelligent Control  Neural Networks  Policy Iteration  Robust Optimal Control  System Identification  Uncertain Nonlinear Systems