Existence, Uniqueness and Exponential Stability of Periodic Solution for Discrete-Time Delayed BAM Neural Networks Based on Coincidence Degree Theory and Graph Theoretic Method

Existence, Uniqueness and Exponential Stability of Periodic Solution for Discrete-Time Delayed BAM Neural Networks Based on Coincidence Degree Theory and Graph Theoretic Method

In this work, a general class of discrete time bidirectional associative memory (BAM) neural networks (NNs) is investigated. In this model, discrete and continuously distributed time delays are taken into account. By utilizing this novel method, which incorporates the approach of Kirchhoff&#8217...

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Bibliographic Details
Main Authors: Manickam Iswarya, Ramachandran Raja, Grienggrai Rajchakit, Jinde Cao, Jehad Alzabut, Chuangxia Huang
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Mathematics
Subjects:
discrete-time bamnns
periodic solution
coincidence degree theory
exponential stability
krichhoff’s matrix tree theorem
time-varying delays
Online Access:https://www.mdpi.com/2227-7390/7/11/1055

Internet

https://www.mdpi.com/2227-7390/7/11/1055

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