Stability Analysis of Delayed Recurrent Neural Networks Based on a Flexible Terminal Inequality-Reference-Cited by-同舟云学术

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Stability Analysis of Delayed Recurrent Neural Networks Based on a Flexible Terminal Inequality

Published:2024-01 Issue:1 Volume:71 Page:316-320
ISSN:1549-7747
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Yu Shuhang¹,Zhang Huaguang²^ORCID,Yan Yuqing¹,Tian Yufeng³

Affiliation:

1. College of Information Science and Engineering, Northeastern University, Shenyang, China

2. State Key Laboratory of Synthetical Automation for Process Industries and the School of Information Science and Engineering, Northeastern University, Shenyang, China

3. College of Automation, Chongqing University, Chongqing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Liaoning Revitalization Talents Program

Nature Science Foundation of Liaoning Province of China

Chongqing Postdoctoral Innovative Talents Support Program

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8920/10385034/10205514.pdf?arnumber=10205514

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sector Bound-Dependent Matrix-Separation-Based Inequality and its Application to Stability Analysis of Discrete-Time Delayed Genetic Regulatory Networks;IEEE Transactions on Circuits and Systems II: Express Briefs;2024-08

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