New asymptotic stability criteria for neural networks with time-varying delay

作者:Tian, Junkang*; Xie, Xiangjun
来源:Physics Letters, Section A: General, Atomic and Solid State Physics , 2010, 374(7): 938-943.
DOI:10.1016/j.physleta.2009.12.020

摘要

The problem of delay-dependent asymptotic stability criteria for neural networks with time-varying delay is investigated. A new class of Lyapunov functional is constructed to derive some new delay-dependent stability criteria. The obtained criterion are less conservative because free-weighting matrices method and a convex optimization approach are considered. Finally, numerical examples are given to demonstrate the effectiveness of the proposed method.