Open AccessAlmost periodic solutions of fuzzy shunting inhibitory CNNs with delays
Author(s) -
Ardak Kashkynbayev,
Moldir Koptileuova,
Alfarabi Issakhanov,
Jinde Cao
Publication year - 2022
Publication title -
aims mathematics
Language(s) - English
Resource type - Journals
ISSN - 2473-6988
DOI - 10.3934/math.2022659
Subject(s) - shunting , fuzzy logic , exponential stability , convergence (economics) , control theory (sociology) , mathematics , inhibitory postsynaptic potential , rate of convergence , computer science , physics , neuroscience , artificial intelligence , economics , telecommunications , biology , channel (broadcasting) , control (management) , nonlinear system , quantum mechanics , economic growth
In the present paper, we prove the existence of unique almost periodic solutions to fuzzy shunting inhibitory cellular neural networks (FSICNN) with several delays. Further, by means of Halanay inequality we analyze the global exponential stability of these solutions and obtain corresponding convergence rate. The results of this paper are new, and they are concluded with numerical simulations confirming them.