New Results on the Exponential Stability of Class Neural Networks with Time-Varying Lags

Yıl 2019, , 443 - 450, 28.06.2019

Yener Altun

https://doi.org/10.17798/bitlisfen.488973

Öz

In this article, some novel
approaches to the analysis of globally exponential stability (GES) for a class
of neural networks with time-varying lags are presented. These approaches to
functional differential equations are based on Lyapunov stability theory. Then,
the necessary and sufficient conditions for GES of the equation taking into
account have been discussed. An example was given to illustrate the qualitative
behavior of the solution of the proposed equation and MATLAB-Simulink Program
was used to demonstrate the validity of the results obtained in these samples.
Consequently, the obtained results include and improve the results found in the
related literature.

Anahtar Kelimeler

Neural networks, GES, Lyapunov functional

Kaynakça

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