Global h-Synchronization for High-Order Delayed Inertial Neural Networks via Direct SORS Strategy-Reference-Cited by-同舟云学术

Global h-Synchronization for High-Order Delayed Inertial Neural Networks via Direct SORS Strategy

Published:2023-11 Issue:11 Volume:53 Page:6693-6704
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Wang Junlan¹,Wang Xin²^ORCID,Zhang Xian¹^ORCID,Zhu Song³^ORCID

Affiliation:

1. School of Mathematical Science and the Heilongjiang Provincial Key Laboratory of the Theory and Computation of Complex Systems, Heilongjiang University, Harbin, China

2. School of Mathematical Science and the School of Electronic Engineering, Heilongjiang University, Harbin, China

3. School of Mathematics, China University of Mining and Technology, Xuzhou, China

Funder

Heilongjiang Provincial Natural Science Foundation of China

Project funded by China Postdoctoral Science Foundation

Heilongjiang Provincial Postdoctoral Science Foundation

University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province

Fundamental Research Funds in Heilongjiang Provincial Universities of China

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/ielx7/6221021/10286435/10176304.pdf?arnumber=10176304

Reference49 articles.

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4. Dissipativity of a class of cellular neural networks with proportional delays

5. A New Approach to Stability Analysis for Stochastic Hopfield Neural Networks with Time Delays

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