文献类型：期刊文献

英文题名：Multiagent Systems on Multilayer Networks: Synchronization Analysis and Network Design

作者：He, Wangli[1];Chen, Guanrong[2];Han, Qing-Long[3];Du, Wenli[1];Cao, Jinde[4,5,6];Qian, Feng[1]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China;[3]Swinburne Univ Technol, Sch Software & Elect Engn, Melbourne, Vic 3122, Australia;[4]Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China;[5]Southeast Univ, Res Ctr Complex Syst & Network Sci, Nanjing 210096, Jiangsu, Peoples R China;[6]King Abdulaziz Univ, Dept Math, Fac Sci, Jeddah 21589, Saudi Arabia

年份：2017

卷号：47

期号：7

起止页码：1655

外文期刊名：IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

收录：;EI(收录号：20172703879609);WOS:【SCI-EXPANDED(收录号:WOS:000404354600052)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61573141, Grant 61333010, and Grant 61573096, in part by the Natural Science Foundation of Shanghai under Grant 17ZR1444600, in part by the Fundamental Research Funds for Central Universities under Grant 22A201514046, in part by the 111 Project under Grant B08021, and in part by the Hong Kong GRF under Grant CityU11234916. This paper was recommended by Associate Editor Y.-J. Liu.

语种：英文

外文关键词：Joint synchronization region; multiagent system; multilayer network; synchronization

摘要：This paper is concerned with the synchronization of multiagent systems connected via different types of interactions, known as multilayer networks. Additive coupling and Markovian switching coupling are proposed to capture the layered connections with two kinds of mathematical models constructed. First, based on simultaneously diagonalization of multiple Laplacian matrices, a general criterion is derived, ensuring that the synchronization problem with additive coupling can be decoupled. Then, an alternative condition is presented, which is related to the number of layers, regardless of the number of agents. With the derived criteria, a concept of joint synchronization region is introduced and further discussed as a network design problem. Synchronization with Markovian switching layers is also analyzed in parallel, exemplified by some special cases of two-layer networks. Finally, a group of cellular neural networks coupled by two-layer connections are chosen to illustrate the effectiveness of the theoretical results.