Exponential lag synchronization for delayed cohen-grossberg neural networks with discontinuous activations

3Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, we investigate the exponential lag synchronization of delayed Cohen-Grossberg neural networks with discontinuous activation functions. By employing the analysis technique and theory of the differential equations with discontinuous right-hand side, some novel lag synchronization criteria have been obtained. Finally, an example is given to illustrate the effectiveness of the obtained results.

Cite

CITATION STYLE

APA

Abdurahman, A., Hu, C., & Jiang, H. (2015). Exponential lag synchronization for delayed cohen-grossberg neural networks with discontinuous activations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9377 LNCS, pp. 129–137). Springer Verlag. https://doi.org/10.1007/978-3-319-25393-0_15

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free