Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8900624 | Applied Mathematics and Computation | 2018 | 17 Pages |
Abstract
This paper presents the theoretical results about global Mittag-Leffler stabilization for a class of fractional-order complex-valued memristive neural networks with the designed two types of control rules. As the extension of fractional-order real-valued memristive neural networks, fractional-order complex-valued memristive neural networks have complex-valued states, synaptic weights, and the activation functions. By utilizing the set-valued maps, a generalized fractional derivative inequality as well as fractional-order differential inclusions, several stabilization criteria for global Mittag-Leffler stabilization of fractional-order complex-valued memristive neural networks are established. A numerical example is provided here to illustrate our theoretical results.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Wenting Chang, Song Zhu, Jinyu Li, Kaili Sun,