Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6863085 | Neural Networks | 2018 | 11 Pages |
Abstract
In this paper, we study global uniform asymptotic fixed deviation stability and stability for a wide class of memristive neural networks with time-varying delays. Firstly, a new mathematical expression of the generic memductance (memristance) is proposed according to the feature of the memristor and the general current-voltage characteristic and a new class of neural networks is designed. Next, a new concept of stability (fixed deviation stability) is proposed in order to describe veritably the stability characteristics of the discontinuous system and the sufficient conditions are given to guarantee the global uniform asymptotic fixed deviation stability and stability of the new system. Finally, two numerical examples are provided to show the applicability and effectiveness of our main results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jiejie Chen, Boshan Chen, Zhigang Zeng,