Novel exponential stability criteria for neural networks of neutral type with time-varying delay

Author

Mai, Huanhuan ; Liao, Xiaofeng ; Li, Chuandong ; Zhang, Weiwei

Author_Institution

Coll. of Comput. Sci., Chongqing Univ., Chongqing

fYear

2008

fDate

25-27 May 2008

Firstpage

1005

Lastpage

1009

Abstract

The global issues of the equilibrium points of neural networks (NNs) of neutral type with time-varying delay is investigated in this paper. Novel delay-dependent exponential stability criteria is established by employing free weighting metrics technology, Lyapunov-Krasovskii stability theorem and linear matrix inequalities (LMI) technique. Two examples with numerical simulation are given to illustrate the effectiveness of our results and to compare with the recent results.

Keywords

Lyapunov methods; asymptotic stability; delay systems; linear matrix inequalities; neurocontrollers; time-varying systems; Lyapunov-Krasovskii stability; delay-dependent exponential stability criteria; free weighting metrics technology; linear matrix inequalities; neural network; time-varying delay; Asymptotic stability; Automatic control; Chemical analysis; Computer science; Delay; Educational institutions; Linear matrix inequalities; Neural networks; Numerical simulation; Stability criteria;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems, 2008. ICCCAS 2008. International Conference on

Conference_Location

Fujian

Print_ISBN

978-1-4244-2063-6

Electronic_ISBN

978-1-4244-2064-3

Type

conf

DOI

10.1109/ICCCAS.2008.4657939

Filename

4657939