Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6952653 | Journal of the Franklin Institute | 2018 | 43 Pages |
Abstract
This paper analyzes synchronization in finite time for two types of coupled delayed Cohen-Grossberg neural networks (CDCGNNs). In the first type, linearly coupled Cohen-Grossberg neural networks with and without coupling delays are considered, respectively. In the second type, nonlinearly coupled Cohen-Grossberg neural networks both with and without coupling delays are discussed. By designing suitable controllers and using some inequality techniques, several criteria ensuring finite-time synchronization of the CDCGNNs with linear coupling and nonlinear coupling are derived, respectively. Moreover, the settling times of synchronization in finite time for the considered networks are also predicted. In the end, the availability for the acquired finite-time synchronization conditions is confirmed by two selected numerical examples.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Shuihan Qiu, Yanli Huang, Shunyan Ren,