Exponential synchronization of delayed coupled neural networks with delay-compensatory impulsive control

Ling, Song; Shi, Hongmei; Wang, Huanqing; Liu, Peter X.

doi:10.1016/j.isatra.2023.11.015

ISA Transactions

2024

DOI: 10.1016/j.isatra.2023.11.015

|View full text |Cite

Exponential synchronization of delayed coupled neural networks with delay-compensatory impulsive control

Song Ling,

Hongmei Shi,

Huanqing Wang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Distributed disturbance observer-based nonfragile bipartite consensus of nonlinear multiagent systems with multiple time-varying delays

Tang,

Zhen,

Zhao

et al. 2024

ISA Transactions

View full text Add to dashboard Cite

Distributed disturbance observer-based nonfragile bipartite consensus of nonlinear multiagent systems with multiple time-varying delays

Tang,

Zhen,

Zhao

et al. 2024

ISA Transactions

View full text Add to dashboard Cite

Delay-compensatory synchronization on uncertain chaotic neural networks via average delayed impulsive gains

Geng,

Tang,

Ding

et al. 2024

Journal of the Franklin Institute

View full text Add to dashboard Cite

Exponential synchronization of neural networks with mixed delays under impulsive control

Zhao,

Li,

Shi

2024

era

View full text Add to dashboard Cite

<p>In this paper, the exponential synchronization problem of a class of neural networks with mixed delays under impulsive control is studied. Combining the impulsive comparison principle and the concept of an average impulsive interval, two impulsive differential inequalities with mixed delays are discussed, and the sufficient conditions for the existence of exponential decay are obtained. Based on two different impulsive control strategies, and then by means of the Lyapunov function, the inequality technique, and these two new inequalities, a set of sufficient conditions are derived to ensure the synchronization of the drive and response systems. In order to prove the effectiveness of the proposed control scheme, two numerical examples are given to prove its practicability and effectiveness.</p>

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Exponential synchronization of delayed coupled neural networks with delay-compensatory impulsive control

Cited by 3 publications

References 50 publications

Distributed disturbance observer-based nonfragile bipartite consensus of nonlinear multiagent systems with multiple time-varying delays

Distributed disturbance observer-based nonfragile bipartite consensus of nonlinear multiagent systems with multiple time-varying delays

Delay-compensatory synchronization on uncertain chaotic neural networks via average delayed impulsive gains

Exponential synchronization of neural networks with mixed delays under impulsive control

Contact Info

Product

Resources

About