title: Generalized Halanay inequalities and their applications to neural networks with unbounded time-varying delays.
abstract: In this brief, we discuss some variants of generalized Halanay inequalities that are useful in the discussion of dissipativity and stability of delayed neural networks, integro-differential systems, and Volterra functional differential equations. We provide some generalizations of the Halanay inequality, which is more accurate than the existing results. As applications, we discuss invariant set, dissipative synchronization, and global asymptotic stability for the Hopfield neural networks with infinite delays. We also prove that the dynamical systems with unbounded time-varying delays are globally asymptotically stable.
authors.affiliation: Key Laboratory of Nonlinear Science, Chinese Ministry of Education, Institute of Mathematics, Fudan University, Shanghai, China. 071018024@fudan.edu.cn
authors.forename: Bo
authors.initials: B
authors.lastname: Liu
authors.forename: Wenlian
authors.initials: W
authors.lastname: Lu
authors.forename: Tianping
authors.initials: T
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D006801:Humans; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D013997:Time Factors