DocumentCode :
1797996
Title :
Output-based high-order bipartite consensus under directed antagonistic networks
Author :
Hongwen Ma ; Derong Liu ; Ding Wang ; Hongliang Li
Author_Institution :
State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
16
Lastpage :
21
Abstract :
In the presence of negative weights in communication graph, bipartite consensus is an extension of the traditional consensus problems where the communication weights are all positive. An output-based distributed control protocol is established to solve the bipartite consensus of the homogeneous multi-agent systems. Bipartite consensus problem is equivalent to a linear stabilizable and detectable problem by introducing a gauge transformation. If the multi-agent systems can reach the bipartite consensus, then the signed digraph should be structurally balanced and contains a spanning tree. Finally, the implementation provides three cases to validate the effectiveness of our developed criteria.
Keywords :
directed graphs; distributed control; feedback; multi-agent systems; stability; trees (mathematics); communication graph; directed antagonistic networks; gauge transformation; homogeneous multiagent systems; linear stabilizable detectable problem; negative weights; output-based distributed feedback control protocol; output-based high-order bipartite consensus; positive communication weights; spanning tree; structurally balanced signed digraph; Decentralized control; Eigenvalues and eigenfunctions; Laplace equations; Multi-agent systems; Protocols; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Agents (IA), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/IA.2014.7009453
Filename :
7009453
Link To Document :
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