O(t−α)-synchronization and Mittag-Leffler synchronization for the fractional-order memristive neural networks with delays and discontinuous neuron activations
This paper investigates O(t−α)-synchronization and adaptive Mittag-Leffler synchronization for the fractional-order memristive neural networks with delays and discontinuous neuron activations. Firstly, based on the framework of Filippov solution and differential inclusion theory, using a Razumikhin-...
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description | This paper investigates O(t−α)-synchronization and adaptive Mittag-Leffler synchronization for the fractional-order memristive neural networks with delays and discontinuous neuron activations. Firstly, based on the framework of Filippov solution and differential inclusion theory, using a Razumikhin-type method, some sufficient conditions ensuring the global O(t−α)-synchronization of considered networks are established via a linear-type discontinuous control. Next, a new fractional differential inequality is established and two new discontinuous adaptive controller is designed to achieve Mittag-Leffler synchronization between the drive system and the response systems using this inequality. Finally, two numerical simulations are given to show the effectiveness of the theoretical results. Our approach and theoretical results have a leading significance in the design of synchronized fractional-order memristive neural networks circuits involving discontinuous activations and time-varying delays. |
doi_str_mv | 10.1016/j.neunet.2018.01.004 |
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Firstly, based on the framework of Filippov solution and differential inclusion theory, using a Razumikhin-type method, some sufficient conditions ensuring the global O(t−α)-synchronization of considered networks are established via a linear-type discontinuous control. Next, a new fractional differential inequality is established and two new discontinuous adaptive controller is designed to achieve Mittag-Leffler synchronization between the drive system and the response systems using this inequality. Finally, two numerical simulations are given to show the effectiveness of the theoretical results. Our approach and theoretical results have a leading significance in the design of synchronized fractional-order memristive neural networks circuits involving discontinuous activations and time-varying delays.</description><identifier>ISSN: 0893-6080</identifier><identifier>EISSN: 1879-2782</identifier><identifier>DOI: 10.1016/j.neunet.2018.01.004</identifier><identifier>PMID: 29427959</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Discontinuous adaptive control ; Fractional-order ; Memristive neural networks ; Synchronization ; Time-varying delays</subject><ispartof>Neural networks, 2018-04, Vol.100, p.10-24</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright © 2018 Elsevier Ltd. 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Firstly, based on the framework of Filippov solution and differential inclusion theory, using a Razumikhin-type method, some sufficient conditions ensuring the global O(t−α)-synchronization of considered networks are established via a linear-type discontinuous control. Next, a new fractional differential inequality is established and two new discontinuous adaptive controller is designed to achieve Mittag-Leffler synchronization between the drive system and the response systems using this inequality. Finally, two numerical simulations are given to show the effectiveness of the theoretical results. Our approach and theoretical results have a leading significance in the design of synchronized fractional-order memristive neural networks circuits involving discontinuous activations and time-varying delays.</description><subject>Discontinuous adaptive control</subject><subject>Fractional-order</subject><subject>Memristive neural networks</subject><subject>Synchronization</subject><subject>Time-varying delays</subject><issn>0893-6080</issn><issn>1879-2782</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kU2O1DAQhS0EYpqBGyCU5bBIKMfpONkgoRF_UqPZwNpy7DLtJrEH2-lRcwLW3IAjcBEOwUlwugcWLFiVVPqq3qt6hDymUFGg7bNd5XB2mKoaaFcBrQCaO2RFO96XNe_qu2QFXc_KFjo4Iw9i3AFA2zXsPjmr-6bm_bpfke9XF-nX128_fzwt48GpbfDOfpHJeldIp4t3NiX5sdygMSOG4l_E-FCkLRYmSLU05Fj6oDM44RRsTHaPRXYZ5JhLuvHhUyxubNoWGkd5iEcJbaPyLlk3-zke6UU7r9sfNeJDcs_IMeKj23pOPrx6-f7yTbm5ev328sWmVKytU9kw3ta80Uw2cs000wpk35qWStCgW4ZDPfSdYQNHbHiTfwHSrAeU3Ji1VJSdk4vT3uvgP88Yk5iyMxxH6TA7EzUABU55t6DNCVXBxxjQiOtgJxkOgoJYwhE7cQpHLOEIoCKHk8ee3CrMw4T679CfNDLw_ARgvnNvMYioLDqF2gZUSWhv_6_wG0Geqcc</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Chen, Jiejie</creator><creator>Chen, Boshan</creator><creator>Zeng, Zhigang</creator><general>Elsevier Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20180401</creationdate><title>O(t−α)-synchronization and Mittag-Leffler synchronization for the fractional-order memristive neural networks with delays and discontinuous neuron activations</title><author>Chen, Jiejie ; Chen, Boshan ; Zeng, Zhigang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-4376274d3a4a53d3dc0a96f61a0d0d63eb2b98f3b7ee4740000af5bea7ff5ac13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Discontinuous adaptive control</topic><topic>Fractional-order</topic><topic>Memristive neural networks</topic><topic>Synchronization</topic><topic>Time-varying delays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Jiejie</creatorcontrib><creatorcontrib>Chen, Boshan</creatorcontrib><creatorcontrib>Zeng, Zhigang</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Neural networks</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Jiejie</au><au>Chen, Boshan</au><au>Zeng, Zhigang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>O(t−α)-synchronization and Mittag-Leffler synchronization for the fractional-order memristive neural networks with delays and discontinuous neuron activations</atitle><jtitle>Neural networks</jtitle><addtitle>Neural Netw</addtitle><date>2018-04-01</date><risdate>2018</risdate><volume>100</volume><spage>10</spage><epage>24</epage><pages>10-24</pages><issn>0893-6080</issn><eissn>1879-2782</eissn><abstract>This paper investigates O(t−α)-synchronization and adaptive Mittag-Leffler synchronization for the fractional-order memristive neural networks with delays and discontinuous neuron activations. 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subjects | Discontinuous adaptive control Fractional-order Memristive neural networks Synchronization Time-varying delays |
title | O(t−α)-synchronization and Mittag-Leffler synchronization for the fractional-order memristive neural networks with delays and discontinuous neuron activations |
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