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Neural Processing Letters
Erschienen in: Neural Processing Letters 3/2018

03.01.2018

Synchronization of Multi-links Memristor-Based Switching Networks Under Uniform Random Attacks

verfasst von: Baolin Qiu, Lixiang Li, Haipeng Peng, Yixian Yang

Erschienen in: Neural Processing Letters | Ausgabe 3/2018

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Abstract

A variety of influence factors are common to the support networks which are used as cyber-physical systems. In this paper, we consider the problem of finite-time and exponential synchronization for the memristor-based switching networks (MSNs) with multi-links and multiple time-varying delays under uniform random attacks via asymptotic controller and adaptive controller. We propose a more general system model and utilize an analytical method which is different from the classical analytical techniques like set-valued mappings technique and differential inclusions to preprocess the MSNs to a class of switching networks with some uncertain parameters. Then, based on appropriate Lyaponov functionals and linear matrix inequality, several useful criteria ensuring the finite-time synchronization or asymptotic synchronization of MSNs with multi-links and time-varying delays under uniform random attacks via designed control law are obtained. Finally, two numerical examples are designed to show the feasibility and the correctness of our proposed results.
Vorheriger Artikel Real-Time Attitude Estimation by Using Parallax Observation System
Nächster Artikel Impulsive Control for a Class of Cellular Neural Networks with Proportional Delay

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Metadaten
Titel
Synchronization of Multi-links Memristor-Based Switching Networks Under Uniform Random Attacks
verfasst von
Baolin Qiu
Lixiang Li
Haipeng Peng
Yixian Yang
Publikationsdatum
03.01.2018
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 3/2018
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-017-9779-z

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