CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 先进机器人
On consensus of linear multi-agent systems with switching topologies: A dynamic output feedback approach
Yunpeng Wang; Long Cheng; Zeng-Guang Hou; Min Tan
2012
Conference Name31st Chinese Control Conference
Conference DateJUL 25-27, 2012
Conference PlaceHefei
CountryChina
AbstractThis paper studies a consensus problem of linear multi-agent systems with switching communication topologies based on dynamic output feedback approach. Agents are described by the general continuous-time or discrete-time linear time-invariant dynamics. Each agent can only measure its output rather than the full state. To solve this difficulty, a dynamic output feedback approach is proposed to estimate agent's state, and the estimated state is sent to the connected agents. Then a distributed protocol is proposed for the multi-agent system to reach a consensus. It is proved that the sufficient conditions for ensuing consensus are: each communication topology graph occurred in the time course is a balanced graph including a spanning tree; the system matrices of every agent are stabilizable and detectable; the input matrix is not a zero matrix and the dwell time of the system is larger than a given constant. Finally, a simulation example is given to validate the effectiveness of the proposed protocol.
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23151
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
Yunpeng Wang,Long Cheng,Zeng-Guang Hou,et al. On consensus of linear multi-agent systems with switching topologies: A dynamic output feedback approach[C],2012.
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
[Yunpeng Wang]'s Articles
[Long Cheng]'s Articles
[Zeng-Guang Hou]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yunpeng Wang]'s Articles
[Long Cheng]'s Articles
[Zeng-Guang Hou]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yunpeng Wang]'s Articles
[Long Cheng]'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.