Novel delay-dependent robust stability criteria for uncertain neutral-type delayed neural networks with discrete interval time-varying delays

Author

Yi Tang ; Runhua Wang ; Zhiming Dong

Author_Institution

Sch. of Electron. & Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China

fYear

2013

fDate

16-18 July 2013

Firstpage

357

Lastpage

361

Abstract

In this paper, the delay-dependent robust stability is investigated for uncertain neutral-type delayed neural networks with discrete interval time-varying delays. The parameter uncertainties are assumed to be norm bounded. Based on the Lyapunov-Krasovskii functional, the Leibniz-Newton formula and the linear matrix inequality (LMI) technique, some robust stability conditions are proposed by introducing some free-weighting matrices. A numerical example is presented to illustrate the efficiency of proposed result.

Keywords

Lyapunov methods; delays; linear matrix inequalities; neural nets; robust control; uncertain systems; LMI technique; Leibniz-Newton formula; Lyapunov-Krasovskii functional; delay-dependent robust stability criteria; discrete interval time-varying delays; free-weighting matrix; linear matrix inequality; parameter uncertainties; uncertain neutral-type delayed neural networks; Asymptotic stability; Delays; Neural networks; Robust stability; Stability criteria; Symmetric matrices; delay-dependent; neural networks; neutral-type; robust stability; time-varying delays;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on

Conference_Location

New York, NY

Print_ISBN

978-1-4799-0781-6

Type

conf

DOI

10.1109/ICCI-CC.2013.6622267

Filename

6622267