Joint influence of leakage delays and proportional delays on almost periodic solutions for FCNNs

Document Type: Research Paper

Authors

1 Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang, China

2 School of Mathematics and Physics, University of South China, Hengyang, China

3 School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China

4 School of Information Science and Engineering, Central South University, Changsha, China

5 School of Mathematics and Statistics, Central South University, Changsha, China

10.22111/ijfs.2020.5116

Abstract

This paper deals with fuzzy cellular neural networks (FCNNs) with leakage delays and proportional delays.
Applying the differential inequality strategy, fixed point theorem and almost periodic function principle, some sufficient criteria which ensure the existence and global attractivity of a unique almost periodic solution for fuzzy cellular neural
networks with leakage delays and proportional delays are derived.
Computer simulations are carried out to illustrate our theoretical
findings. Our results are new and complement some previous
published ones.

Keywords