中文版 | English

在结果中检索

CSpace

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：
Mittag-Leffler stabilization for an unstable time-fractional anomalous diffusion equation with boundary control matched disturbance 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2019, 卷号: 29, 期号: 13, 页码: 4384-4401
作者:  Zhou, Hua-Cheng;  Lv, Chunwan;  Guo, Bao-Zhu;  Chen, YangQuan
收藏  |  浏览/下载：166/0  |  提交时间：2020/01/10
active disturbance rejection control (ADRC)  Mittag-Leffler stabilization  time-fractional anomalous diffusion equation  
Observers and observability for uncertain nonlinear systems: A necessary and sufficient condition 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2019, 卷号: 29, 期号: 10, 页码: 2960-2977
作者:  Bai, Wenyan;  Chen, Sen;  Huang, Yi;  Guo, Bao-Zhu;  Wu, Ze-Hao
收藏  |  浏览/下载：140/0  |  提交时间：2020/01/10
convergence of the observer  extended state observer  observers  uncertain nonlinear systems  
Performance analysis of 2-DOF tracking control for a class of nonlinear uncertain systems with discontinuous disturbances 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2018, 卷号: 28, 期号: 4, 页码: 1456-1473
作者:  Xue, Wenchao;  Huang, Yi
收藏  |  浏览/下载：217/0  |  提交时间：2018/07/25
discontinuous disturbance  disturbance estimation  extended state observer (ESO)  nonlinear uncertain systems  2-degree-of-freedom (2-DOF) control  
Active disturbance rejection control approach to stabilization of lower triangular systems with uncertainty 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2016, 卷号: 26, 期号: 11, 页码: 2314-2337
作者:  Zhao, Zhi-Liang;  Guo, Bao-Zhu
收藏  |  浏览/下载：102/0  |  提交时间：2018/07/30
active disturbance rejection control  nonlinear systems  uncertainty  
Distributed dynamic consensus under quantized communication data 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2015, 卷号: 25, 期号: 11, 页码: 1704-1720
作者:  Zhang, Qiang;  Wang, Bing-Chang;  Zhang, Ji-Feng
收藏  |  浏览/下载：123/0  |  提交时间：2018/07/30
multi-agent systems  dynamic consensus  distributed estimation  quantized data