Robust Stability Analysis for Fuzzy BAM Neural Networks with Time Varying Delays

Author

Liu, Bin ; Guang, Xu ; Qian, Xu

Author_Institution

Dept. of Electr. & Inf. Eng. Coll., Shaanxi Univ. of Sci. & Technol., Xian

Volume

1

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

411

Lastpage

415

Abstract

This paper deals with the problem of robust stability for fuzzy bi-directional associative memory (BAM) neural networks with time-varying interval delays. Here the delays are assumed be in given ranges. By constructing new Lyapunov-Krasovskii functional, stability conditions which are dependent on the upper and lower bounds of the delays, are given in term of linear matrix inequalities (LMIs). A numerical example is given to illustrate the effectiveness of the proposed method.

Keywords

Lyapunov methods; content-addressable storage; delay systems; fuzzy control; fuzzy neural nets; linear matrix inequalities; neurocontrollers; nonlinear control systems; robust control; stability; time-varying systems; Lyapunov-Krasovskii functional; fuzzy BAM neural networks; fuzzy bi-directional associative memory neural networks; linear matrix inequalities; robust stability analysis; time varying delays; Artificial neural networks; Delay effects; Fuzzy neural networks; Fuzzy systems; Magnesium compounds; Neural networks; Power system modeling; Robust stability; Stability analysis; Symmetric matrices; BAM neural networks; Fuzzy systems; Interval delays; LMIs; Stability analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.50

Filename

4666010