Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6864925 | Neurocomputing | 2018 | 10 Pages |
Abstract
This paper studies the dynamic behaviors of complex-valued memristive neural networks with variable delays. By using M-matrix, redinequality technique and Lyapunov function, sufficient conditions are proposed to guarantee the existence, uniqueness and global exponential stability for the equilibrium point of complex-valued memristive neural networks with variable delays. The proposed results are easy to be checked and are helpful in qualitative analysis for some complex-valued nonlinear delayed systems. Two numerical examples are given to demonstrate the effectiveness of theoretical results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Dan Liu, Song Zhu, Kaili Sun,