Exponential stability in the Lagrange sense for Clifford-valued recurrent neural networks with time delays

Exponential stability in the Lagrange sense for Clifford-valued recurrent neural networks with time delays

Abstract This paper considers the Clifford-valued recurrent neural network (RNN) models, as an augmentation of real-valued, complex-valued, and quaternion-valued neural network models, and investigates their global exponential stability in the Lagrange sense. In order to address the issue of non-com...

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Bibliographic Details
Main Authors: G. Rajchakit, R. Sriraman, N. Boonsatit, P. Hammachukiattikul, C. P. Lim, P. Agarwal
Format: Article
Language:English
Published: SpringerOpen 2021-05-01
Series:Advances in Difference Equations
Subjects:
Clifford-valued neural network
Exponential stability
Lyapunov functional
Lagrange stability
Online Access:https://doi.org/10.1186/s13662-021-03415-8

Internet

https://doi.org/10.1186/s13662-021-03415-8

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