Synchronization of Caputo fractional neural networks with bounded time variable delays

نویسندگان

چکیده

Abstract One of the main problems connected with neural networks is synchronization. We examine a model network time-varying delay and also case when connection weights (the influential strength j j th neuron to i i neuron) are variable in time unbounded. The rate change dynamics all neurons described by Caputo fractional derivative. apply Lyapunov functions Razumikhin method obtain some sufficient conditions ensure synchronization model. These explicitly expressed terms parameters system, hence, they easily verifiable. illustrate our theory particular nonlinear network.

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ژورنال

عنوان ژورنال: Open Mathematics

سال: 2021

ISSN: ['2391-5455']

DOI: https://doi.org/10.1515/math-2021-0046