Exponential Stability of Hopfield Neural Network Model with Non-Instantaneous Impulsive Effects

We introduce a non-instantaneous impulsive Hopfield neural network model in this paper. Firstly, we prove the existence and uniqueness of an almost periodic solution of this model. Secondly, we prove that the solution of this model is exponentially stable. Finally, we give an example of this model.

Bibliographic Details
Main Authors: Rui Ma, Michal Fečkan, Jinrong Wang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Axioms
Subjects:
Online Access:https://www.mdpi.com/2075-1680/12/2/115