Finite/Prescribed-Time Cluster Synchronization of Complex Dynamical Networks With Multiproportional Delays and Asynchronous Switching-Reference-Cited by-同舟云学术

Finite/Prescribed-Time Cluster Synchronization of Complex Dynamical Networks With Multiproportional Delays and Asynchronous Switching

Published:2023-06 Issue:6 Volume:53 Page:3683-3694
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Liu Ling¹^ORCID,Zhou Wuneng²^ORCID,Huang Cong³^ORCID

Affiliation:

1. School of Information Sciences and Technology, Donghua University, Shanghai, China

2. School of Information Sciences and Technology and the Engineering Research Center of Digitized Textile and Fashion Technology, Ministry of Education, Donghua University, Shanghai, China

3. School of Transportation and Civil Engineering, Nantong University, Nantong, China

Funder

Natural Science Foundation of China

Natural Science Foundation of Shanghai

Foundation for Distinguished Young Talents in Higher Education of Guangdong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10128816/10004619.pdf?arnumber=10004619

Reference44 articles.

1. Finite- and Fixed-Time Cluster Synchronization of Nonlinearly Coupled Delayed Neural Networks via Pinning Control

2. The asymptotic stability of hybrid stochastic systems with pantograph delay and non-Gaussian Lévy noise

3. Finite-Time and Fixed-Time Cluster Synchronization With or Without Pinning Control

4. Finite-time and fixed-time synchronization of a class of inertial neural networks with multi-proportional delays and its application to secure communication

5. Novel Finite-Time Synchronization Criteria for Inertial Neural Networks With Time Delays via Integral Inequality Method

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