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Neural Processing Letters
Erschienen in: Neural Processing Letters 2/2018

13.06.2017

Finite-Time Lag Synchronization for Memristive Mixed Delays Neural Networks with Parameter Mismatch

verfasst von: Lingzhong Zhang, Yongqing Yang, Fei Wang, Xin Sui

Erschienen in: Neural Processing Letters | Ausgabe 2/2018

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Abstract

This paper is devoted to study the finite time lag synchronization problem of memristive mixed delays neural networks with switching jumps and parameter mismatch. The main objective of this paper is to design simple linear feedback control such as the drive response systems can realize synchronization in the finite time. Several theoretical aspects are addressed, mean Filippov differential inclusion and set-valued map. Based on the Gronwall’s inequality and properties of differential operation, a new finite time lag synchronization scheme is proposed to guarantee that coupled memristive mixed delays neural networks are in a state of lag synchronization in finite time. In addition, finite lag synchronization criteria of two identical memristive mixed delays neural networks are also considered. Finally, numerical examples are presented to illustrate the effectiveness of the our proposed theorems.
Vorheriger Artikel Passivity and Passivity-Based Synchronization of Switched Coupled Reaction-Diffusion Neural Networks with State and Spatial Diffusion Couplings
Nächster Artikel A Simplified Architecture of the Zhang Neural Network for Toeplitz Linear Systems Solving

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Metadaten
Titel
Finite-Time Lag Synchronization for Memristive Mixed Delays Neural Networks with Parameter Mismatch
verfasst von
Lingzhong Zhang
Yongqing Yang
Fei Wang
Xin Sui
Publikationsdatum
13.06.2017
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 2/2018
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-017-9653-z

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