Adaptive Output-feedback Consensus Protocol Design for Linear Multi-agent Systems with Directed Graphs

被引：0
作者：
Lv, Yuezu [1 ]
Li, Zhongkui [1 ]
Duan, Zhisheng [1 ]
机构：
[1] Peking Univ, Dept Mech & Engn Sci, Coll Engn, State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China
来源：
2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年
关键词：
Multi-agent systems; consensus; output feedback control; adaptive control; LIPSCHITZ NONLINEAR DYNAMICS; COOPERATIVE CONTROL; DISTRIBUTED CONTROL; HIGH-ORDER; SYNCHRONIZATION; ALGORITHMS; NETWORKS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper addresses the output feedback consensus protocol design problem for general linear multi-agent systems with directed communication graphs. By proposing a new method called adding an extra observer, two novel adaptive output feedback consensus protocols are proposed to achieve consensus for any strongly connected directed graph. The proposed adaptive output feedback protocols are fully distributed, relying on only the agent dynamics and the local output information of neighboring agents. A sufficient condition for the existence of the proposed adaptive protocols is that each agent is stabilizable and detectable.
引用
收藏
页码：150 / 155
页数：6
相关论文
共 24 条
[1]  
[Anonymous], 2008, ARXIV08013390
[2]   Interconnected Dynamic Systems AN OVERVIEW ON DISTRIBUTED CONTROL [J].
Antonelli, Gianluca .
IEEE CONTROL SYSTEMS MAGAZINE, 2013, 33 (01) :76-88
[3]  
Bernstein DS, 2009, Matrix mathematics: theory, facts, and formulas, V2nd
[4]   An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination [J].
Cao, Yongcan ;
Yu, Wenwu ;
Ren, Wei ;
Chen, Guanrong .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2013, 9 (01) :427-438
[5]  
Khalil H. K., 2002, Nonlinear Systems
[6]   Global H∞ consensus of multi-agent systems with Lipschitz non-linear dynamics [J].
Li, Z. ;
Liu, X. ;
Fu, M. ;
Xie, L. .
IET CONTROL THEORY AND APPLICATIONS, 2012, 6 (13) :2041-2048
[7]   Dynamic consensus of linear multi-agent systems [J].
Li, Z. ;
Duan, Z. ;
Chen, G. .
IET CONTROL THEORY AND APPLICATIONS, 2011, 5 (01) :19-28
[8]  
Li Z., 2014, IEEE T AUTO IN PRESS
[9]  
Li Z., 2014, Cooperative Control of Multi-Agent Systems: A Consensus Region Approach
[10]   Distributed consensus of linear multi-agent systems with adaptive dynamic protocols [J].
Li, Zhongkui ;
Ren, Wei ;
Liu, Xiangdong ;
Xie, Lihua .
AUTOMATICA, 2013, 49 (07) :1986-1995
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