Robust asymptotic stability condition concerning Markovian jumping BAM neural networks of neutral type with mode-dependent delay

Author

Qiu, Ji-qing ; Li, Qing ; Wang, Jia ; Zhou, Chang-Jie ; Yang, Kuo

Author_Institution

Sch. of Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, China

Volume

5

fYear

2010

fDate

11-14 July 2010

Firstpage

2297

Lastpage

2302

Abstract

This paper addresses the problem of robust asymptotic stability for a class of Markovian jumping BAM neural networks of neutral type with mode-dependent delay. Based on Lyapunov stability theory and stochastic analysis approaches, we can get novel robust stability conditions in terms of linear matrix inequalities (LMIs), which can be easily solved by MATLAB LMI toolbox. At last, a numerical example is given to illustrate the effectiveness of the proposed results.

Keywords

Lyapunov methods; Markov processes; asymptotic stability; content-addressable storage; delays; linear matrix inequalities; neural nets; neurocontrollers; Lyapunov stability theory; Markovian jumping BAM neural networks; linear matrix inequalities; mode-dependent delay; neutral type; robust asymptotic stability; stochastic analysis; Delay; Robustness; Linear matrix inequalities (LMIs); Markovian jumping BAM neural network; mode-dependent delay; neutral type; robust stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2010 International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-6526-2

Type

conf

DOI

10.1109/ICMLC.2010.5580653

Filename

5580653