Cluster Consensus in Networks of Agents With Weighted Cooperative-Competitive Interactions

被引:71
作者
Zhan, Jingyuan [1 ,2 ]
Li, Xiang [1 ,2 ]
机构
[1] Fudan Univ, Dept Elect Engn, Adapt Networks & Control Lab, Shanghai 200433, Peoples R China
[2] Fudan Univ, Sch Informat Sci & Technol, Res Ctr Smart Networks & Syst, Shanghai 200433, Peoples R China
关键词
Cooperative-competitive interactions; cluster consensus; multi-agent systems; pinning control; ANTAGONISTIC INTERACTIONS; MULTIAGENT SYSTEMS; 2ND-ORDER CONSENSUS; DYNAMICAL-SYSTEMS; TOPOLOGY; DELAYS;
D O I
10.1109/TCSII.2017.2713526
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This brief concerns a general cooperative-competitive network with weighted interactions, based on which the cluster consensus problem is addressed. A directed network with the weighted cooperative-competitive interactions is classified into three categories: 1) interactively balanced; 2) sub-balanced; and 3) unbalanced digraphs. In interactively balanced or sub-balanced networks, cluster consensus can be achieved, while in interactively unbalanced networks, cluster consensus can be reached in need of additional control inputs exerted on specific pinned agents. Simulations are finally presented to verify the theoretical results.
引用
收藏
页码:241 / 245
页数:5
相关论文
共 21 条
[1]   Predictable Dynamics of Opinion Forming for Networks With Antagonistic Interactions [J].
Altafini, Claudio ;
Lini, Gabriele .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (02) :342-357
[2]   Consensus Problems on Networks With Antagonistic Interactions [J].
Altafini, Claudio .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (04) :935-946
[3]   REACHING A CONSENSUS [J].
DEGROOT, MH .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1974, 69 (345) :118-121
[4]   Computing global structural balance in large-scale signed social networks [J].
Facchetti, Giuseppe ;
Iacono, Giovanni ;
Altafini, Claudio .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 (52) :20953-20958
[5]   Multi-consensus of multi-agent networks via a rectangular impulsive approach [J].
Han, Guang-Song ;
Guan, Zhi-Hong ;
Li, Juan ;
Liao, Rui-Quan ;
Cheng, Xin-Ming .
SYSTEMS & CONTROL LETTERS, 2015, 76 :28-34
[6]   Achieving Cluster Consensus in Continuous-Time Networks of Multi-Agents With Inter-Cluster Non-Identical Inputs [J].
Han, Yujuan ;
Lu, Wenlian ;
Chen, Tianping .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (03) :793-798
[7]   Reverse Group Consensus of Multi-Agent Systems in the Cooperation-Competition Network [J].
Hu, Hong-xiang ;
Yu, Wenwu ;
Wen, Guanghui ;
Xuan, Qi ;
Cao, Jinde .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2016, 63 (11) :2036-2047
[8]   Second-order consensus for heterogeneous multi-agent systems in the cooperation-competition network: A hybrid adaptive and pinning control approach [J].
Hu, Hong-Xiang ;
Xuan, Qi ;
Yu, Wenwu ;
Zhang, Chun-Guo ;
Xie, Guangming .
NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2016, 20 :21-36
[9]   Second-order consensus of multi-agent systems in the cooperation-competition network with switching topologies: A time-delayed impulsive control approach [J].
Hu, Hong-xiang ;
Liu, Andong ;
Xuan, Qi ;
Yu, Li ;
Xie, Guangming .
SYSTEMS & CONTROL LETTERS, 2013, 62 (12) :1125-1135
[10]   Distributed Consensus Algorithms in Sensor Networks: Quantized Data and Random Link Failures [J].
Kar, Soummya ;
Moura, Jose M. F. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (03) :1383-1400