Convergence Rate of Leader-Following Consensus of Networks of Discrete-Time Linear Agents in Noisy Environments

被引：1
作者：
Cheng Long [1 ]
Wang Yunpeng [2 ]
Hou Zeng-Guang [1 ]
Tan Min [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
[2] Beijing Inst Control Engn, Beijing 100190, Peoples R China
来源：
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年
基金：
北京市自然科学基金; 中国国家自然科学基金;
关键词：
Multi-agent systems; convergence rate; mean square; noises; leader-following consensus; MULTIAGENT SYSTEMS; STOCHASTIC CONSENSUS; COMMUNICATION NOISES; TOPOLOGIES;
D O I：
10.1109/ChiCC.2016.7554644
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 mean square leader-following consensus protocol is proposed for discrete-time linear multi-agent systems with communication noises. To attenuate the noise's effect, a specic class of time-varying consensus gains are applied to the noise-corrupted relative states between agents. The distinguished feature of the proposed protocol is that each agent can have its own noise-attenuation gain. Both the steady-state performance and the transient performance of the closed-loop multi-agent system are analyzed. The convergence rates of the mathematical expectation and the second-moment of the leader-following consensus error are explicitly presented.
引用
收藏
页码：8102 / 8107
页数：6
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