Evidence map›Paper›PMID 28878565›Full record

ArticleProceedings. Mathematical, physical, and engineering sciences2017

Mittag-Leffler synchronization of delayed fractional-order bidirectional associative memory neural networks with discontinuous activations: state feedback control and impulsive control schemes.

Xiaoshuai Ding, Jinde Cao, Xuan Zhao, Fuad E Alsaadi

Abstract read
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Article in Proceedings. Mathematical, physical, and engineering sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiaoshuai DingSchool of Mathematics, and Research Center for Complex Systems and Network Sciences, Southeast University, Nanjing 210096, People's Republic of China.
Jinde CaoSchool of Mathematics, and Research Center for Complex Systems and Network Sciences, Southeast University, Nanjing 210096, People's Republic of China.ORCID 0000-0003-3133-7119
Xuan ZhaoSchool of Mathematics, and Research Center for Complex Systems and Network Sciences, Southeast University, Nanjing 210096, People's Republic of China.
Fuad E AlsaadiElectrical and Computer Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper is concerned with the drive-response synchronization for a class of fractional-order bidirectional associative memory neural networks with time delays, as well as in the presence of discontinuous activation functions. The global existence of solution under the framework of Filippov for such networks is firstly obtained based on the fixed-point theorem for condensing map. Then the state feedback and impulsive controllers are, respectively, designed to ensure the Mittag-Leffler synchronization of these neural networks and two new synchronization criteria are obtained, which are expressed in terms of a fractional comparison principle and Razumikhin techniques. Numerical simulations are presented to validate the proposed methodologies.

Indexed as

Filippov solutionsfractional-order bidirectional associative memory neural networksimpulsive controlMittag-Leffler synchronizationRazumikhin techniquestate feedback control

Identifiers

PMID28878565
PMCPMC5582186

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.