title: Exponential stability analysis for neural networks with time-varying delay.
abstract: This correspondence paper focuses on the problem of exponential stability for neural networks with a time-varying delay. The relationship among the time-varying delay, its upper bound, and their difference is taken into account. As a result, an improved linear-matrix-inequality-based delay-dependent exponential stability criterion is obtained without ignoring any terms in the derivative of Lyapunov-Krasovskii functional. Two numerical examples are given to demonstrate its effectiveness.
authors.forename: Min
authors.initials: M
authors.lastname: Wu
authors.forename: Fang
authors.initials: F
authors.lastname: Liu
authors.forename: Peng
authors.initials: P
authors.lastname: Shi
authors.forename: Yong
authors.initials: Y
authors.lastname: He
authors.forename: Ryuichi
authors.initials: R
authors.lastname: Yokoyama
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008962:Models, Theoretical; D016571:Neural Networks, Computer