Consensus for Multi-agent Systems Based on Genetic algorithms

被引：0
|
作者：
Lyu, Jianqiu [1 ]
Wang, Hongqi [1 ]
Chen, Shujuan [2 ]
机构：
[1] Harbin Univ Sci & Technol, Sch Management, Harbin 150080, Peoples R China
[2] Heilongjiang Univ, Sch Math Sci, Harbin 150080, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
Multi-agent systems; Consensus; Genetic algorithms; FINITE-TIME CONSENSUS; DOUBLE-INTEGRATOR DYNAMICS; VELOCITY-MEASUREMENTS; TOPOLOGIES; NETWORKS; TRACKING; AGENTS;
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, we study the consensus problem for multi-agent systems based on genetic algorithms. First, the velocity-free consensus algorithm is proposed, in which, the graph theory and Lyapunov stability theory are applied. The proposed consensus algorithm guarantees that the states of all agents can reach consensus asymptotically. The genetic algorithms optimization process is then introduced to turn the control parameters for cooperative control to achieve good results. Numerical simulation is given to validate the effectiveness of the proposed method.
引用
收藏
页码：1338 / 1341
页数：4
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