Stability and Existence of Periodic Solution for Impulsive Cellular Neural Networks

Author

Liu, Ting ; Ma, Qingxia ; Cao, Shaochen ; Liu, Anping

Author_Institution

Sch. of Math. & Phys., China Univ. of Geosci., Wuhan, China

Volume

3

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

16

Lastpage

20

Abstract

As an important tool to study practical problems of biology, engineering and image processing, the cellular neural networks (CNNs) has caused more and more attention. Some useful and interesting results about the existence of periodic solution for cellular neural networks have been obtained. In this paper, by means of iterative analysis, the existence and stability of periodic solution for cellular neural networks with impulsive effects are considered. Some new results are obtained.

Keywords

cellular neural nets; image processing; iterative methods; stability; biology; engineering; image processing; impulsive cellular neural networks; iterative analysis; stability existence periodic solution; study practical problems; Artificial intelligence; Biology; Cells (biology); Cellular neural networks; Computational intelligence; Geology; Image processing; Iterative methods; Mathematics; Stability; cellular neural networks; existence; impulsive effects; iterative analysis; stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.381

Filename

5376495