Nonfragile H ∞ Synchronization of BAM Inertial Neural Networks Subject to Persistent Dwell-Time Switching Regularity

This article concentrates on the synchronization of discrete-time persistent dwell-time (PDT) switched bidirectional associative memory inertial neural networks with time-varying delays. Through the use of the switched system theory related to the PDT, the convex optimization technique together with...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on cybernetics Vol. 52; no. 7; pp. 6591 - 6602
Main Authors: Shen, Hao, Huang, Zhengguo, Wu, Zhengguang, Cao, Jinde, Park, Ju H.
Format: Journal Article
Language:English
Published: Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.07.2022
Subjects:
Acclimatization
Associative memory
Convexity
Decoupling method
Dwell time
Neural networks
Optimization
Synchronism
Systems theory
Time synchronization
ISSN:2168-2267, 2168-2275, 2168-2275
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This article concentrates on the synchronization of discrete-time persistent dwell-time (PDT) switched bidirectional associative memory inertial neural networks with time-varying delays. Through the use of the switched system theory related to the PDT, the convex optimization technique together with some straightforward decoupling methods, an appropriate mode-dependent controller with nonfragility is developed to acclimatize itself to some practical circumstances. Simultaneously, sufficient conditions of ensuring the [Formula Omitted] performance and exponential stability for the resulting switched synchronization error system are derived. Finally, a numerical example is utilized to show the validity of the model constructed and the influence of the PDT on the [Formula Omitted] performance. In addition, an image encryption example is employed to show the potential application prospect of the investigated system.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:2168-2267
2168-2275
2168-2275
DOI:10.1109/TCYB.2021.3119199