Robust Stability Analysis for Uncertain Nonlinear Neural Networks with Time Delay

Author

Xiaojie, Zong

Author_Institution

Zhejiang Gongshang Univ., Hangzhou

fYear

2007

fDate

5-8 Nov. 2007

Firstpage

688

Lastpage

692

Abstract

The robust stability of time delayed neural networks with uncertain nonlinear perturbation is analyzed based on Lyapunov stability theory. By choosing suitable Lyapunov functionals and using certain matrix transformations, sufficient conditions on robust stability of time delayed neural networks with uncertain nonlinear perturbation are given. The exponential asymptotical stability is investigated for the considered neural networks. All the stable criteria in this paper are presented in terms of linear matrix inequalities.

Keywords

Lyapunov methods; delays; linear matrix inequalities; neurocontrollers; nonlinear control systems; robust control; uncertain systems; Lyapunov stability theory; linear matrix inequalities; matrix transformations; nonlinear perturbation; robust stability analysis; time delay; uncertain nonlinear neural networks; Delay effects; Industrial Electronics Society; Linear matrix inequalities; Lyapunov method; Neural networks; Neurons; Notice of Violation; Robust stability; Stability analysis; Sufficient conditions;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE

Conference_Location

Taipei

ISSN

1553-572X

Print_ISBN

1-4244-0783-4

Type

conf

DOI

10.1109/IECON.2007.4460183

Filename

4460183