Existence and stability of periodic solution of non-autonomous neural networks with delay

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The paper investigates the existence and global stability of periodic solution of non-autonomous neural networks with delay. Then the existence and uniqueness of periodic solutions of the neural networks are discussed in the paper. Moreover, criterion on stability of periodic solutions of the neural networks is obtained by using matrix function inequality, and algorithm for the criterion on the neural networks is provided. Result in the paper generalizes and improves the result in the existing references. In the end, an illustrate example is given to verify our results. © Springer-Verlag Berlin Heidelberg 2007.

Cite

CITATION STYLE

APA

Jiang, M., Wang, X., & Shen, Y. (2007). Existence and stability of periodic solution of non-autonomous neural networks with delay. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4491 LNCS, pp. 952–957). Springer Verlag. https://doi.org/10.1007/978-3-540-72383-7_111

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