Event-triggered Control for Cluster Consensus in Multi-agent Networks

2015 ◽  
Vol 18 (5) ◽  
pp. 1836-1844 ◽  
Author(s):  
Aihua Hu ◽  
Manfeng Hu ◽  
Liuxiao Guo
2019 ◽  
Vol 22 (6) ◽  
pp. 2549-2557
Author(s):  
Xing Guo ◽  
Jinling Liang ◽  
Habib M. Fardoun

2018 ◽  
Vol 8 (4) ◽  
pp. 293-302 ◽  
Author(s):  
Bin Xu ◽  
Wangli He

Abstract This paper is concerned with cluster consensus of linear multi-agent systems via a distributed event-triggered control scheme. Assume that agents can be split into several clusters and a leader is associated with each cluster. Sufficient conditions are derived to guarantee the realization of cluster consensus by a feasible event-triggered controller if the network topology of each cluster has a directed spanning tree and the couplings within each cluster are sufficiently strong. Further, positive inner-event time intervals are ensured for the proposed event-triggered strategy to avoid Zeno behaviors. Finally, a numerical example is given to illustrate the effectiveness of the theoretical results.


2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Li Xiao ◽  
Xiaofeng Liao ◽  
Huiwei Wang

Nowadays, multi-agent networks are ubiquitous in the real world. Over the last decade, consensus has received an increasing attention from various disciplines. This paper investigates cluster consensus for discrete-time multi-agent networks. By utilizing a special coupling matrix and the Kronecker product, a criterion based on linear matrix inequality (LMI) is obtained. It is shown that the addressed discrete-time multi-agent networks achieve cluster consensus if a certain LMI is feasible. Finally, an example is given to demonstrate the effectiveness of the proposed criterion.


AI & Society ◽  
2018 ◽  
Vol 33 (2) ◽  
pp. 197-205
Author(s):  
Ö Feyza Erkan ◽  
Mehmet Akar

2017 ◽  
Vol 230 ◽  
pp. 294-301 ◽  
Author(s):  
Xin Chen ◽  
Xiaofeng Liao ◽  
Lan Gao ◽  
Shasha Yang ◽  
Huiwei Wang ◽  
...  

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