title: Delay-dependent stability criteria for reaction–diffusion neural networks with time-varying delays.
abstract: This paper studies the global asymptotic stability problem of a class of reaction–diffusion neural networks with time-varying delays. To overcome the difficulty caused by the partial differential term, a novel Lyapunov–Krasovskii functional is proposed, and a partial differential equation technique together with a linear operator approach are also applied to obtain the delay-dependent stability criteria, which are less conservative than the existing results. Finally, simulation examples are given to verify and illustrate the theoretical analysis.
authors.forename: Qian
authors.initials: Q
authors.lastname: Ma
authors.forename: Gang
authors.initials: G
authors.lastname: Feng
authors.forename: Shengyuan
authors.initials: S
authors.lastname: Xu
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D013997:Time Factors