title: New passivity criteria for neural networks with time-varying delay.
abstract: In this paper, improved criteria for the passivity of neural networks with time delay are proposed. The improvement is achieved by exploiting the finer relationships between the time-varying delay and its size bound which allow the use of more slack variables. It is illustrated via numerical examples that the proposed results are less conservative than those available in the literature.
authors: School of Astronautics, Harbin Institute of Technology, China. zexuzhang@hit.edu.cn
authors: Zexu
authors: Z
authors: Zhang
authors: Shaoshuai
authors: S
authors: Mou
authors: James
authors: J
authors: Lam
authors: Huijun
authors: H
authors: Gao
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D013997:Time Factors; D035501:Uncertainty