中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共4条，第1-4条 帮助

已选(0)清除 条数/页：   排序方式：
Reduced-Order Observer-Based Leader-Following Formation Control for Discrete-Time Linear Multi-Agent Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1715-1723
作者:  Zhongxin Liu;  Yangbo Li;  Fuyong Wang;  Zengqiang Chen
Adobe PDF(1626Kb)  |  收藏  |  浏览/下载：116/39  |  提交时间：2021/09/03
Discrete-time systems  formation control  leader-following  multi-agent system  reduced-order observer  
Development of STEP AP224 Extractor for Interfacing Feature Based CAPP to STEP-NC (AP238) 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 655-670
作者:  Deepanshu Srivastava;  Venkateswara Rao Komma
浏览  |  Adobe PDF(3913Kb)  |  收藏  |  浏览/下载：102/37  |  提交时间：2021/02/22
Reduced-order observer  discrete-time systems  Lipschitz systems  H∞  ARDUINO MEGA 2560 device.  
New LMI Conditions for Reduced-order Observer of Lipschitz Discrete-time Systems: Numerical and Experimental Results 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 644-654
作者:  Noussaiba Gasmi;  Assem Thabet;  Mohamed Aoun
浏览  |  Adobe PDF(1366Kb)  |  收藏  |  浏览/下载：80/24  |  提交时间：2021/02/22
Reduced-order observer  discrete-time systems  Lipschitz systems  H∞  ARDUINO MEGA 2560 device.  
Robust global consensus tracking of linear multi-agent systems with input saturation via scheduled low-and-high gain feedback 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 1, 页码: 69-77
作者:  Chu, Hongjun;  Chen, Jianliang;  Wei, Qinglai;  Zhang, Weidong
收藏  |  浏览/下载：276/0  |  提交时间：2019/07/12
reduced order systems  observers  multi-agent systems  linear systems  multi-robot systems  actuators  robust control  state feedback  feedback  control system synthesis  topology  robust global consensus tracking  input saturation  agent dynamics  general linear systems  actuator saturation  input additive uncertainties  state feedback protocol  disturbance rejection  reduced-order observer-based protocol design  linear multi-agent systems  scheduled low-and-high gain feedback  network topology