Poisson Stability in Symmetrical Impulsive Shunting Inhibitory Cellular Neural Networks with Generalized Piecewise Constant Argument

Poisson Stability in Symmetrical Impulsive Shunting Inhibitory Cellular Neural Networks with Generalized Piecewise Constant Argument

In the paper, shunting inhibitory cellular neural networks with impulses and the generalized piecewise constant argument are under discussion. The main modeling novelty is that the impulsive part of the systems is symmetrical to the differential part. Moreover, the model depends not only on the cont...

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Bibliographic Details
Main Authors: Marat Akhmet, Madina Tleubergenova, Roza Seilova, Zakhira Nugayeva
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Symmetry
Subjects:
impulsive shunting inhibitory cellular neural networks
symmetry of impulsive and differential parts
continuous and impact activations
generalized piecewise constant argument
method of included intervals
continuous and discontinuous Poisson stable inputs and outputs
Online Access:https://www.mdpi.com/2073-8994/14/9/1754

Internet

https://www.mdpi.com/2073-8994/14/9/1754

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