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Neural Processing Letters
Published in: Neural Processing Letters 2/2020

02-01-2020

Exponential Lag Synchronization and Global Dissipativity for Delayed Fuzzy Cohen–Grossberg Neural Networks with Discontinuous Activations

Authors: Meryem Abdelaziz, Farouk Chérif

Published in: Neural Processing Letters | Issue 2/2020

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Abstract

This paper investigates the qualitative behavior of a new class of fuzzy Cohen–Grossberg neural networks with discontinuous neuron activations and mixed delays. Roughly speaking, some novel sufficient conditions are established in order to demonstrate the global dissipativity and the exponential lag synchronization of the considered model by using the theory of Filippov systems and Lyapunov method. Finally, two examples are presented to show the effectiveness of the obtained results.
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Metadata
Title
Exponential Lag Synchronization and Global Dissipativity for Delayed Fuzzy Cohen–Grossberg Neural Networks with Discontinuous Activations
Authors
Meryem Abdelaziz
Farouk Chérif
Publication date
02-01-2020
Publisher
Springer US
Published in
Neural Processing Letters / Issue 2/2020
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-019-10169-8

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