Share This Article:

New Results of Global Asymptotical Stability for Impulsive Hopfield Neural Networks with Leakage Time-Varying Delay

HTML XML Download Download as PDF (Size:367KB) PP. 2112-2126
DOI: 10.4236/jamp.2017.511173    575 Downloads   943 Views
Author(s)

ABSTRACT

In this paper, Hopfield neural networks with impulse and leakage time-varying delay are considered. New sufficient conditions for global asymptotical stability of the equilibrium point are derived by using Lyapunov-Kravsovskii functional, model transformation and some analysis techniques. The criterion of stability depends on the impulse and the bounds of the leakage time-varying delay and its derivative, and is presented in terms of a linear matrix inequality (LMI).

Cite this paper

Xi, Q. (2017) New Results of Global Asymptotical Stability for Impulsive Hopfield Neural Networks with Leakage Time-Varying Delay. Journal of Applied Mathematics and Physics, 5, 2112-2126. doi: 10.4236/jamp.2017.511173.

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.