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Cognitive Neurodynamics

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21.09.2017 | Research Article

Finite-time and fixed-time synchronization analysis of inertial memristive neural networks with time-varying delays

verfasst von: Ruoyu Wei, Jinde Cao, Ahmed Alsaedi

Erschienen in: Cognitive Neurodynamics | Ausgabe 1/2018

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Abstract

This paper investigates the finite-time synchronization and fixed-time synchronization problems of inertial memristive neural networks with time-varying delays. By utilizing the Filippov discontinuous theory and Lyapunov stability theory, several sufficient conditions are derived to ensure finite-time synchronization of inertial memristive neural networks. Then, for the purpose of making the setting time independent of initial condition, we consider the fixed-time synchronization. A novel criterion guaranteeing the fixed-time synchronization of inertial memristive neural networks is derived. Finally, three examples are provided to demonstrate the effectiveness of our main results.

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Titel: Finite-time and fixed-time synchronization analysis of inertial memristive neural networks with time-varying delays
verfasst von: Ruoyu Wei
Jinde Cao
Ahmed Alsaedi
Publikationsdatum: 21.09.2017
Verlag: Springer Netherlands
Erschienen in: Cognitive Neurodynamics / Ausgabe 1/2018
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-017-9455-z

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