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Neural Processing Letters

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04-02-2016

Novel Switching Jumps Dependent Exponential Synchronization Criteria for Memristor-Based Neural Networks

Authors: Sanbo Ding, Zhanshan Wang, Zhanjun Huang, Huaguang Zhang

Published in: Neural Processing Letters | Issue 1/2017

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Abstract

This paper investigates the problem of global exponential synchronization for memristor-based neural networks with delay. Based on the nonsmooth analysis and differential inclusion theory, a new analytic technique is employed to design a discontinuous state feedback controller, which ensures the memristor-based drive system exponential synchronize with the response system. The succinct synchronization conditions is closely relate to the switching jumps. The estimated rate of the exponential synchronization can be obtained by solving a sample algebra equation. Simulation results are given to show the effectiveness and benefits of the proposed methods.

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Title: Novel Switching Jumps Dependent Exponential Synchronization Criteria for Memristor-Based Neural Networks
Authors: Sanbo Ding
Zhanshan Wang
Zhanjun Huang
Huaguang Zhang
Publication date: 04-02-2016
Publisher: Springer US
Published in: Neural Processing Letters / Issue 1/2017
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI: https://doi.org/10.1007/s11063-016-9504-3

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