Robust Exponential Stability for Time-Delays Neural Networks with Discontinuous Activation Functions

Author

Wu, Xiru ; Wang, Yaonan ; Wu, Jingbing ; Cao, Wenming ; Huang, Lihong

Author_Institution

Coll. of Electr. & Inf. Technol., Hunan Univ., Changsha, China

fYear

2010

fDate

23-25 April 2010

Firstpage

1

Lastpage

6

Abstract

In this paper, we considers the global robust exponential stability of uncertain neural networks with discontinuous activation functions and time-varying delays. Based on the Lyapunov-Krasovskii stability theory, we originally analyze the global robust exponential stability of discontinuous neural networks with time-varying delays using the linear matrix inequalities (LMIs). Thus, our results are brand new compared to previous literature. A numerical example is given to validate the effectiveness of our results.

Keywords

Lyapunov methods; asymptotic stability; delays; linear matrix inequalities; neurocontrollers; time-varying systems; uncertain systems; LMI; Lyapunov-Krasovskii stability theory; discontinuous activation functions; discontinuous neural networks; global robust exponential stability; linear matrix inequalities; time-varying delays; uncertain neural networks; Convergence; Educational institutions; Information technology; Linear matrix inequalities; Neural networks; Neurons; Robust stability; Stability analysis; Symmetric matrices; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5315-3

Type

conf

DOI

10.1109/ICBECS.2010.5462306

Filename

5462306