Novel Stability Criteria of Neutral-type Neural Networks with Variable and Distributed Delays

Author

Jin, Li

Author_Institution

Sch. of Sci., Dalian Jiaotong Univ., Dalian, China

Volume

1

fYear

2010

fDate

23-24 Oct. 2010

Firstpage

238

Lastpage

241

Abstract

The robust stability is investigated for a class of uncertain neutral-type neural networks with both variable and unbounded distributed delays. By introducing a new Lyapunov-Krasovskii functional, involving some free-weighting matrices, using the homeomorphism mapping principle, Cauchy-Schwarz inequality and linear matrix inequality(LMI) techniques, several delay-dependent sufficient criteria are obtained for asymptotic stability of considered neural networks, which generalize some previous results in the literature.

Keywords

Lyapunov methods; asymptotic stability; delays; distributed control; linear matrix inequalities; neural nets; robust control; uncertain systems; Cauchy-Schwarz inequality; Lyapunov-Krasovskii functional; asymptotic stability; delay dependent criteria; free weighting matrix; homeomorphism mapping principle; linear matrix inequality; neutral type neural network; robust stability; stability criteria; unbounded distributed delay; Artificial neural networks; Asymptotic stability; Delay; Linear matrix inequalities; Stability criteria; Symmetric matrices; Global robust asymptotic stability; freeweighting matrix; homeomorphism mapping; linear matrix inequality (LMI); uncertain neutral-type neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4244-8432-4

Type

conf

DOI

10.1109/AICI.2010.57

Filename

5656751