Solving a modified consensus problem of linear multi-agent systems

被引:91
作者
Cheng, Long [1 ]
Hou, Zeng-Guang [1 ]
Lin, Yingzi [2 ]
Tan, Min [1 ]
Zhang, Wenjun [3 ]
机构
[1] Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing, Peoples R China
[2] Northeastern Univ, Coll Engn, Dept Mech & Ind Engn, Boston, MA 02115 USA
[3] Univ Saskatchewan, Dept Mech Engn, Coll Engn, Saskatoon, SK S7N 0W0, Canada
基金
中国国家自然科学基金;
关键词
Multi-agent systems; Consensus; Linear dynamics; Dynamic output feedback; SUFFICIENT CONDITIONS; ALGORITHMS;
D O I
10.1016/j.automatica.2011.03.014
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A distributed protocol is proposed for a modified consensus problem of a network of agents that have the same continuous-time linear dynamics. Each agent estimates its own state using its output information and then sends the estimated state to its neighbor agents for the purpose of reaching a consensus. The modified consensus problem requires the group decision value to be a linear function of initial states and initial estimated states of all agents in the network, and the transformation matrix associated with this linear function not to be a zero matrix. It is proved that under the proposed control protocol, the modified consensus problem can be solved if and only if the system matrices of the agent's dynamics are stabilizable and detectable, the input matrix is not a zero matrix, and the communication topology graph has a spanning tree. The proposed protocol can also be extended to multi-agent systems where agents are described by discrete-time linear dynamics. The corresponding necessary and sufficient conditions are provided as well. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2218 / 2223
页数:6
相关论文
共 15 条
[1]   Necessary and Sufficient Conditions for Consensus of Double-Integrator Multi-Agent Systems With Measurement Noises [J].
Cheng, Long ;
Hou, Zeng-Guang ;
Tan, Min ;
Wang, Xu .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2011, 56 (08) :1958-1963
[2]   Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems with Uncertainties [J].
Cheng, Long ;
Hou, Zeng-Guang ;
Tan, Min ;
Lin, Yingzi ;
Zhang, Wenjun .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 21 (08) :1351-1358
[3]   Distributed algorithms for reaching consensus on general functions [J].
Cortes, Jorge .
AUTOMATICA, 2008, 44 (03) :726-737
[4]   Information flow and cooperative control of vehicle formations [J].
Fax, JA ;
Murray, RM .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2004, 49 (09) :1465-1476
[5]  
Horn R.A., 2012, Matrix Analysis
[6]   Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks [J].
Hou, Zeng-Guang ;
Cheng, Long ;
Tan, Min .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 39 (03) :636-647
[7]   Necessary and Sufficient Conditions for Consensusability of Linear Multi-Agent Systems [J].
Ma, Cui-Qin ;
Zhang, Ji-Feng .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2010, 55 (05) :1263-1268
[8]   Consensus problems in networks of agents with switching topology and time-delays [J].
Olfati-Saber, R ;
Murray, RM .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2004, 49 (09) :1520-1533
[9]   Consensus seeking in multiagent systems under dynamically changing interaction topologies [J].
Ren, W ;
Beard, RW .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2005, 50 (05) :655-661
[10]   On consensus algorithms for double-integrator dynamics [J].
Ren, Wei .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 53 (06) :1503-1509