Existence and exponential stability of almost periodic solutions for BAM cellular neural networks with time-varying delays and continuously distributed delays

Author

Chen, Ninghua ; Xu, Junyan

Author_Institution

Fujian Preschool Educ. Coll., Fuzhou, China

Volume

1

fYear

2012

fDate

20-21 Oct. 2012

Firstpage

1

Lastpage

5

Abstract

This paper consider a class of bidirectional associative memory (BAM) cellular neural networks with delays. By using the fixed point theorem and differential inequality techniques, some new sufficient conditions are established for the existence, uniqueness and global exponential stability of the almost periodic solutions. The obtained sufficient conditions are easy to verify and our results complement previously known results.

Keywords

asymptotic stability; cellular neural nets; time-varying systems; BAM cellular neural networks; almost periodic solutions; bidirectional associative memory cellular neural networks; continuously distributed delays; differential inequality techniques; fixed point theorem; global exponential stability; time-varying delays; Cellular neural networks; Control theory; Delay; Stability; Vectors; Almost periodic solution; Cellular neural networks; Delays; Exponential stability;

fLanguage

English

Publisher

ieee

Conference_Titel

System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4673-0914-1

Type

conf

DOI

10.1109/ICSSEM.2012.6340710

Filename

6340710