Finite-Time Synchronization and Passivity of Multiple Delayed Coupled Neural Networks via Impulsive Control

This paper focuses on the finite-time passivity (FTP) and finite-time synchronization (FTS) for multiple delayed coupled neural networks (MDCNNs) with and without uncertain parameters. A novel FTP criterion for MDCNNs with different dimensions of input and output is derived by designing an impulsive...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.33532-33544
Main Authors: Tang, Hong-An, Yue, Chen-Xu, Duan, Shukai
Format: Article
Language:English
Subjects:
Artificial neural networks
Circuit stability
Control systems design
coupled neural networks
Couplings
finite-time passivity
finite-time synchronization
Impulsive control
multiple time delays
Neural networks
Parameter uncertainty
Passivity
Power system stability
Robust control
Stability criteria
Synchronization
Time synchronization
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper focuses on the finite-time passivity (FTP) and finite-time synchronization (FTS) for multiple delayed coupled neural networks (MDCNNs) with and without uncertain parameters. A novel FTP criterion for MDCNNs with different dimensions of input and output is derived by designing an impulsive controller and using the Jensen's inequality. Then, by means of the Lyapunov functional and integral inequality techniques, a sufficient condition is established to ensure the FTS of MDCNNs via impulsive control. Furthermore, the robust FTP and FTS in MDCNNs are considered. Finally, a numerical example is given to demonstrate the validity of the presented results.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2973245