Distributed Consensus Tracking with Reduced Interaction via Impulsive Algorithms

被引:0
|
作者
Liu Zhi-Wei [1 ]
Zhou Hong [1 ]
Guan Zhi-Hong [2 ]
Feng Yun [1 ]
Ding Li [1 ]
机构
[1] Wuhan Univ, Dept Automat, Wuhan 430072, Peoples R China
[2] Huazhong Univ Sci & Technol, Coll Automat, Wuhan 430074, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Impulsive Control; Consensus Tracking; Multi-Agent System; COMPLEX DYNAMICAL NETWORKS; MULTIAGENT NETWORKS; SAMPLED INFORMATION; SYSTEMS; COMMUNICATION; DELAYS; LEADER; SYNCHRONIZATION; TOPOLOGIES; FLOCKING;
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
In this paper, distributed consensus tracking problems with a dynamic leader are studied via impulsive control approach. Only partial measurements of the active leader and the followers are available at sampling instants. By using the stability theory of impulsive systems, we present some necessary and sufficient conditions to ensure consensus tracking of the controlled systems. It is shown that the control gains, the sampling period and the interaction graph play key roles in achieving the consensus tracking. A numerical example is given for illustration.
引用
收藏
页码:7263 / 7267
页数:5
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