On Passivity Analysis of Bi-directional Associative Memory Neural Networks with Time Delay

Author

Lou, X.Y. ; Cui, B.T. ; Shen, Y.X.

Author_Institution

Res. Center of Control Sci. & Eng., Southern Yangtze Univ.

fYear

2006

fDate

24-26 May 2006

Firstpage

1

Lastpage

6

Abstract

The passivity conditions for bi-directional associative memory neural networks with time-varying delays and uncertainties are considered in this paper. We firstly derive the passivity condition for bi-directional associative memory neural networks with constant time delay, and then extend the result to the case with time-varying delays and uncertainties. Based on Lyapunov functionals and linear matrix inequalities, the passivity conditions are presented. The results obtained in this paper improve and extend some of the previous results

Keywords

Lyapunov matrix equations; delays; linear matrix inequalities; neurocontrollers; Lyapunov functionals; bidirectional associative memory neural networks; linear matrix inequalities; passivity analysis; time-varying delays; Associative memory; Bidirectional control; Circuit stability; Delay effects; Linear matrix inequalities; Magnesium compounds; Neural networks; Stability analysis; Symmetric matrices; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2006 1ST IEEE Conference on

Conference_Location

Singapore

Print_ISBN

0-7803-9513-1

Electronic_ISBN

0-7803-9514-X

Type

conf

DOI

10.1109/ICIEA.2006.257141

Filename

4025759