期刊论文、会议论文

Li, Zengyang

英文

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

1549-8328

2020

67

5

1740-1751

IEEE NEWCAS Conference

JUN 23-26, 2019

Munich, GERMANY

[Liu, Hui;Xu, Jiangqiao;Wang, Xiaoping;Zeng, Zhigang] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China.^[Liu, Hui;Xu, Jiangqiao;Wang, Xiaoping;Zeng, Zhigang] Huazhong Univ Sci & Technol, Key Lab Image Proc & Intelligent Control, Educ Minist China, Wuhan 430074, Peoples R China.^[Li, Zengyang] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.^[Lu, Jinhu] Beihang Univ, State Key Lab Software Dev Environm, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China.^[Lu, Jinhu] Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing 100191, Peoples R China.

IEEE

445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

10.1109/TCSI.2019.2963687

Manuscript received June 21, 2019; revised October 21, 2019 and December 2, 2019; accepted December 17, 2019. Date of publication January 13, 2020; date of current version May 1, 2020. This work was supported in part by the National Key Research and Development Program of China under Grant 2016YFB0800401, in part by the National Natural Science Foundation of China under Grant 61773175, Grant 61702377, Grant 61876209, and Grant 61621003, and in part by the Natural Science Foundation of Hubei Province of China under Grant 2017CFB426. This article was presented in part at the 2018 Chinese Automation Congress, Xi’an, China. This article was recommended by Associate Editor H. R. Karimi. (Corresponding author: Zengyang Li.) Hui Liu, Jiangqiao Xu, Xiaoping Wang, and Zhigang Zeng are with the School of Artificial Intelligence and Automation and the Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Huazhong University of Science and Technology, Wuhan 430074, China (e-mail: hliu@hust.edu.cn; 1015328854@qq.com; wangxiaoping@ hust.edu.cn; zgzeng@hust.edu.cn).

本校为通讯机构

This paper is aimed at optimizing the synchronizability of a complex network when the total of its edge weights is given and fixed. We try to allocate edge weights on a complex network to optimize the network's synchronizability from the perspective of spectral graph theory. Most of the existing analysis on multilayer networks assumes the weights of intralayer or interlayer edges to be identical. Such a restrictive assumption is not made in this work. Using the graph comparison based method, different edge weights are allocated according to top...