CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 先进机器人
Convergence rate of leader-following consensus of networks of discrete-time linear agents in noisy environments
Long Cheng; Yunpeng Wang; Zeng-Guang Hou; Min Tan
2016
Conference Name 35th Chinese Control Conference (CCC)
Conference DateJUL 27-29, 2016
Conference PlaceChengdu
CountryChina
AbstractA mean square leader-following consensus protocol is proposed for discrete-time linear multi-agent systems with communication noises. To attenuate the noise's effect, a specic class of time-varying consensus gains are applied to the noise-corrupted relative states between agents. The distinguished feature of the proposed protocol is that each agent can have its own noise-attenuation gain. Both the steady-state performance and the transient performance of the closed-loop multi-agent system are analyzed. The convergence rates of the mathematical expectation and the second-moment of the leader-following consensus error are explicitly presented.
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23133
Collection复杂系统管理与控制国家重点实验室_先进机器人
Recommended Citation
GB/T 7714
Long Cheng,Yunpeng Wang,Zeng-Guang Hou,et al. Convergence rate of leader-following consensus of networks of discrete-time linear agents in noisy environments[C],2016.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Long Cheng]'s Articles
[Yunpeng Wang]'s Articles
[Zeng-Guang Hou]'s Articles
Baidu academic
Similar articles in Baidu academic
[Long Cheng]'s Articles
[Yunpeng Wang]'s Articles
[Zeng-Guang Hou]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Long Cheng]'s Articles
[Yunpeng Wang]'s Articles
[Zeng-Guang Hou]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.