title: New delay-dependent stability criteria for neural networks with time-varying delay.
abstract: In this letter, a new method is proposed for stability analysis of neural networks (NNs) with a time-varying delay. Some less conservative delay-dependent stability criteria are established by considering the additional useful terms, which were ignored in previous methods, when estimating the upper bound of the derivative of Lyapunov functionals and introducing the new free-weighting matrices. Numerical examples are given to demonstrate the effectiveness and the benefits of the proposed method.
authors.forename: Yong
authors.initials: Y
authors.lastname: He
authors.forename: Guoping
authors.initials: G
authors.lastname: Liu
authors.forename: D
authors.initials: D
authors.lastname: Rees
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D013997:Time Factors