Periodic solution for nonautonomous cellular neural networks with impulses

Jitao Sun, Qing Guo Wang, Hanqiao Gao

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

In this paper, we study existence, uniqueness and global stability of periodic solution (i.e., stationary oscillation) for general nonautonomous cellular neural networks with impulses. Some criteria are obtained for stationary oscillation of the nonautonomous cellular neural networks with impulses. It is derived by using a new method which is different from those of the previous literatures. Previous results are extended and improved. An illustrative example is given to demonstrate the effectiveness and less conservativeness of the obtained results.

Original languageEnglish
Pages (from-to)1423-1427
Number of pages5
JournalChaos, Solitons and Fractals
Volume40
Issue number3
DOIs
Publication statusPublished - 15 May 2009
Externally publishedYes

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • General Mathematics
  • General Physics and Astronomy
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Periodic solution for nonautonomous cellular neural networks with impulses'. Together they form a unique fingerprint.

Cite this