A unified criterion for global exponential stability of quaternion‐valued neural networks with hybrid impulses-Reference-Cited by-同舟云学术

A unified criterion for global exponential stability of quaternion‐valued neural networks with hybrid impulses

Published:2020-09-19 Issue:18 Volume:30 Page:8098-8116
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int J Robust Nonlinear Control

Author:

Ji Xinrui¹,Lu Jianquan¹^ORCID,Lou Jungang²,Qiu Jianlong³,Shi Kaibo⁴^ORCID

Affiliation:

1. Department of Systems Science, School of Mathematics Southeast University Nanjing China

2. School of Information Engineering Huzhou University Huzhou China

3. Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong, School of Automation and Electrical Engineering Linyi University Linyi P.R. China

4. School of Information Science and Engineering Chengdu University Chengdu P.R. China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Natural Science Foundation of Shandong Province

Natural Science Foundation of Zhejiang Province

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.5210

Reference54 articles.

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5. Constrained Quaternion-Variable Convex Optimization: A Quaternion-Valued Recurrent Neural Network Approach

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