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Neural Processing Letters
Erschienen in: Neural Processing Letters 1/2019

21.02.2018

New Results for Exponential Synchronization of Memristive Cohen–Grossberg Neural Networks with Time-Varying Delays

verfasst von: Mei Liu, Haijun Jiang, Cheng Hu

Erschienen in: Neural Processing Letters | Ausgabe 1/2019

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Abstract

This paper concerns the topic of exponential synchronization for a class of memristive Cohen–Grossberg neural networks with time-varying delays by designing a suitable controller. Through a nonlinear transformation, we obtain an alternative system from the considered memristive Cohen–Grossberg neural networks. Then, by studying the exponential synchronization of the alternative system, we get some novel and effective exponential synchronization criteria for the considered memristive Cohen–Grossberg neural networks. These results generalize some previous known results and remove a few restrictions on control width and time-delays. Finally, numerical simulations are given to present the effectiveness of the theoretical results.
Vorheriger Artikel Exponential Stability of Positive Recurrent Neural Networks with Multi-proportional Delays
Nächster Artikel Global Exponential Synchronization of Memristive Competitive Neural Networks with Time-Varying Delay via Nonlinear Control

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Metadaten
Titel
New Results for Exponential Synchronization of Memristive Cohen–Grossberg Neural Networks with Time-Varying Delays
verfasst von
Mei Liu
Haijun Jiang
Cheng Hu
Publikationsdatum
21.02.2018
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 1/2019
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-017-9728-x

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