Fast convergent average consensus of multiagent systems based on community detection algorithm

作     者：Feng, Xinlei Yang, Xiaoli 

作者机构：Leshan Normal Univ Coll Math & Informat Sci Leshan Peoples R China Georgia State Univ Dept Math Stat Atlanta GA 30303 USA Leshan Normal Univ Coll Special Educ Leshan Peoples R China 

出 版 物：《ADVANCES IN DIFFERENCE EQUATIONS》 (Adv. Differ. Equations)

年 卷 期：2018年第2018卷第1期

页      面：1页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：China Scholarship council Scientific Research Fund of Sichuan Provincial Education Department [16ZA0304] Research Project of Leshan Normal University [Z1514] 

主　　题：Consensus Multiagent systems Community detection algorithm Continuous-time system 

摘      要：In this paper, we consider fast convergent average consensus based on community detection algorithm. Generally, we know that a small network can have a faster convergence speed than a big one at the same condition. So we divide a multiagent network into several small networks. Firstly, let every small network reach own consensus, and then entire network reach the average consensus. Based on this idea, we present FCWAC Algorithm. For the FCWAC Algorithm, we obtain the results on the average consensus of first-, second-, and high-order continuous-time multiagent systems. Finally, simulation examples illustrate our theoretical results.