Stability and Stabilization of Delayed Neural Networks with Hybrid Impulses
Joint Authors
Zou, Kefa
Li, Xuechen
Wang, Nan
Lou, Jungang
Lu, Jianquan
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-21
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In this paper, the stability and stabilization issues for a class of delayed neural networks with time-varying hybrid impulses are investigated.
The hybrid effect of two types of impulses including both stabilizing and destabilizing impulses is considered simultaneously in the analysis of systems.
To characterize the occurrence features of impulses, the concepts of average impulse interval and average impulse strength are employed.
Based on the analysis of stability, a pinning impulsive controller which can ensure the global exponential stability of the studied neural networks is designed by pinning a small fraction of neurons.
Finally, two numerical examples are given to illustrate the effectiveness of the proposed control schemes for delayed neural networks with hybrid impulses.
American Psychological Association (APA)
Zou, Kefa& Li, Xuechen& Wang, Nan& Lou, Jungang& Lu, Jianquan. 2020. Stability and Stabilization of Delayed Neural Networks with Hybrid Impulses. Complexity،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1144517
Modern Language Association (MLA)
Zou, Kefa…[et al.]. Stability and Stabilization of Delayed Neural Networks with Hybrid Impulses. Complexity No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1144517
American Medical Association (AMA)
Zou, Kefa& Li, Xuechen& Wang, Nan& Lou, Jungang& Lu, Jianquan. Stability and Stabilization of Delayed Neural Networks with Hybrid Impulses. Complexity. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1144517
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1144517