{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T18:36:57Z","timestamp":1735583817979},"reference-count":57,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2017,4,1]],"date-time":"2017-04-01T00:00:00Z","timestamp":1491004800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61573096","61272530","11601047"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"\u201c333 Engineering\u201d Foundation of Jiangsu Province of China","award":["BRA2015286"]},{"name":"Scientific and Technological Research Program of Chongqing Municipal Education Commission","award":["KJ1501002"]},{"name":"Natural Science Foundation Project of CQ","award":["cstc2016jcyjA0596"]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neural Networks"],"published-print":{"date-parts":[[2017,4]]},"DOI":"10.1016\/j.neunet.2017.01.004","type":"journal-article","created":{"date-parts":[[2017,2,4]],"date-time":"2017-02-04T02:46:33Z","timestamp":1486176393000},"page":"125-133","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":113,"special_numbering":"C","title":["Global dissipativity of memristor-based neutral type inertial neural networks"],"prefix":"10.1016","volume":"88","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-0267-0633","authenticated-orcid":false,"given":"Zhengwen","family":"Tu","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3133-7119","authenticated-orcid":false,"given":"Jinde","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Ahmed","family":"Alsaedi","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6420-3948","authenticated-orcid":false,"given":"Fuad","family":"Alsaadi","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neunet.2017.01.004_br000005","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1109\/81.224297","article-title":"Global convergence and suppression of spurious states of the Hopfield neural networks","volume":"40","author":"Abe","year":"1993","journal-title":"IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications"},{"key":"10.1016\/j.neunet.2017.01.004_br000010","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/BF00197284","article-title":"Models of membrane resonance in pigeon semicircular canal type II hair cells","volume":"65","author":"Angelaki","year":"1991","journal-title":"Biological Cybernetics"},{"key":"10.1016\/j.neunet.2017.01.004_br000015","doi-asserted-by":"crossref","first-page":"4949","DOI":"10.1016\/j.jfranklin.2014.08.013","article-title":"An analysis of stability of neutral-type neural systems with constant time delays","volume":"351","author":"Arik","year":"2014","journal-title":"Journal of the Franklin Institute"},{"key":"10.1016\/j.neunet.2017.01.004_br000020","first-page":"325","article-title":"Models for electrical tuning in hair cells","volume":"226","author":"Ashmore","year":"1985","journal-title":"Proceedings of the Royal Society of London B: Biological Sciences"},{"key":"10.1016\/j.neunet.2017.01.004_br000025","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1016\/0167-2789(86)90152-1","article-title":"Stability and dynamics of simple electronic neural networks with added inertia","volume":"23","author":"Babcock","year":"1986","journal-title":"Physica D"},{"key":"10.1016\/j.neunet.2017.01.004_br000030","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1016\/j.amc.2014.06.060","article-title":"New global exponential stability criteria for nonlinear delay differential systems with applications to BAM neural networks","volume":"243","author":"Berezansky","year":"2014","journal-title":"Applied Mathematics and Computation"},{"key":"10.1016\/j.neunet.2017.01.004_br000035","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1090\/qam\/204800","article-title":"Bifurcation of periodic solutions in a nonlinear difference-differential equation of neutral type","volume":"24","author":"Brayton","year":"1966","journal-title":"Quarterly of Applied Mathematics"},{"issue":"3","key":"10.1016\/j.neunet.2017.01.004_br000040","doi-asserted-by":"crossref","DOI":"10.1007\/s11432-016-0555-2","article-title":"Fixed-time synchronization of delayed memristor-based recurrent neural networks","volume":"60","author":"Cao","year":"2017","journal-title":"Science China Information Sciences"},{"key":"10.1016\/j.neunet.2017.01.004_br000045","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.neunet.2014.02.003","article-title":"Matrix measure strategies for stability and synchronization of inertial BAM neural network with time delays","volume":"53","author":"Cao","year":"2014","journal-title":"Neural Networks"},{"key":"10.1016\/j.neunet.2017.01.004_br000050","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1109\/TCSI.2004.841574","article-title":"Global asymptotic and robust stability of recurrent neural networks with time delays","volume":"52","author":"Cao","year":"2005","journal-title":"IEEE Transactions on Circuits and Systems. I. Regular Papers"},{"key":"10.1016\/j.neunet.2017.01.004_br000055","first-page":"1","article-title":"Global point dissipativity of neural networks with mixed time-varying delays","volume":"16","author":"Cao","year":"2006","journal-title":"Chaos: An Interdisciplinary Journal of Nonlinear Science"},{"key":"10.1016\/j.neunet.2017.01.004_br000060","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1109\/TCT.1971.1083337","article-title":"Memristor-the missing circuit element","volume":"18","author":"Chua","year":"1971","journal-title":"IEEE Transactions on Circuit Theory"},{"key":"10.1016\/j.neunet.2017.01.004_br000065","article-title":"Pinning sampled-data synchronization of coupled inertial neural networks with reaction\u2013diffusion terms and time-varying delays","author":"Dharani","year":"2016","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neunet.2017.01.004_br000070","doi-asserted-by":"crossref","first-page":"4122","DOI":"10.1016\/j.cnsns.2014.03.024","article-title":"Global dissipativity of mixed time-varying delayed neural networks with discontinuous activations","volume":"19","author":"Duan","year":"2014","journal-title":"Communications in Nonlinear Science and Numerical Simulation"},{"issue":"10","key":"10.1016\/j.neunet.2017.01.004_br000075","doi-asserted-by":"crossref","first-page":"2311","DOI":"10.1109\/TNNLS.2014.2378991","article-title":"Adaptive control of uncertain nonaffine nonlinear systems with input saturation using neural networks","volume":"26","author":"Esfandiari","year":"2015","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.neunet.2017.01.004_br000080","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.neunet.2013.08.002","article-title":"Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays","volume":"48","author":"Guo","year":"2013","journal-title":"Neural Networks"},{"key":"10.1016\/j.neunet.2017.01.004_br000085","first-page":"1","article-title":"Global uniform asymptotic stability of memristor-based recurrent neural networks with time delays","author":"Hu","year":"2010","journal-title":"International Joint Conference on Neural Networks"},{"key":"10.1016\/j.neunet.2017.01.004_br000090","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.matcom.2015.04.005","article-title":"Global Lagrange stability for neutral-type Cohen-Grossberg BAM neural networks with mixed time-varying delays","volume":"116","author":"Jian","year":"2015","journal-title":"Math. Comput. Simul."},{"key":"10.1016\/j.neunet.2017.01.004_br000095","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.1007\/s00521-012-1037-8","article-title":"Stability and existence of periodic solutions in inertial BAM neural networks with time delay","volume":"23","author":"Ke","year":"2013","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.neunet.2017.01.004_br000100","series-title":"Delay differential equations with applications in population dynamics","author":"Kuang","year":"1993"},{"key":"10.1016\/j.neunet.2017.01.004_br000105","doi-asserted-by":"crossref","first-page":"5355","DOI":"10.1016\/j.apm.2011.04.043","article-title":"Improved results on robust stability of neutral systems with mixed time-varying delays and nonlinear perturbations","volume":"35","author":"Lakshmanan","year":"2011","journal-title":"Applied Mathematical Modelling"},{"key":"10.1016\/j.neunet.2017.01.004_br000110","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neunet.2014.08.015","article-title":"New synchronization criteria for memristor-based networks: Adaptive control and feedback control schemes","volume":"61","author":"Li","year":"2015","journal-title":"Neural Networks"},{"key":"10.1016\/j.neunet.2017.01.004_br000115","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1016\/j.ins.2014.07.042","article-title":"Dissipativity analysis of memristor-based complex-valued neural networks with time-varying delays","volume":"294","author":"Li","year":"2015","journal-title":"Information Sciences"},{"key":"10.1016\/j.neunet.2017.01.004_br000120","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1103\/PhysRevE.68.016118","article-title":"Global dissipativity of continuous-time recurrent neural networks with time delay","volume":"68","author":"Liao","year":"2003","journal-title":"Physical Review E"},{"key":"10.1016\/j.neunet.2017.01.004_br000125","doi-asserted-by":"crossref","first-page":"1013","DOI":"10.1016\/j.neunet.2011.06.005","article-title":"Dissipativity and quasi-synchronization for neural networks with discontinuous activations and parameter mismatches","volume":"24","author":"Liu","year":"2011","journal-title":"Neural Networks"},{"key":"10.1016\/j.neunet.2017.01.004_br000130","doi-asserted-by":"crossref","first-page":"638","DOI":"10.1016\/j.neucom.2010.10.001","article-title":"Global exponential stability in Lagrange sense for neutral type recurrent neural networks","volume":"74","author":"Luo","year":"2011","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neunet.2017.01.004_br000135","doi-asserted-by":"crossref","first-page":"540","DOI":"10.1109\/TAC.2014.2342095","article-title":"Stability analysis of time-varying neutral time-delay systems","volume":"60","author":"Mazenc","year":"2015","journal-title":"IEEE Transactions on Automatic Control"},{"key":"10.1016\/j.neunet.2017.01.004_br000140","doi-asserted-by":"crossref","first-page":"3345","DOI":"10.1016\/j.eswa.2011.09.021","article-title":"An LMI approach for global robust dissipativity analysis of T-S fuzzy neural networks with interval time-varying delays","volume":"39","author":"Muralisankar","year":"2012","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.neunet.2017.01.004_br000145","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.neucom.2015.02.052","article-title":"Stability of inertial BAM neural network with time-varying delay via impulsive control","volume":"161","author":"Qi","year":"2015","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neunet.2017.01.004_br000150","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1016\/j.neucom.2016.06.061","article-title":"Synchronization and periodicity of coupled inertial memristive neural networks with supremums","volume":"214","author":"Rakkiyappan","year":"2016","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neunet.2017.01.004_br000155","doi-asserted-by":"crossref","first-page":"5026","DOI":"10.1016\/j.apm.2015.12.024","article-title":"Leakage-delay-dependent stability analysis of markovian jumping linear systems with time-varying delays and nonlinear perturbations","volume":"40","author":"Rakkiyappan","year":"2016","journal-title":"Applied Mathematical Modelling"},{"key":"10.1016\/j.neunet.2017.01.004_br000160","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1007\/s11571-016-9392-2","article-title":"Stability and synchronization analysis of inertial memristive neural networks with time delays","volume":"10","author":"Rakkiyappan","year":"2016","journal-title":"Cognitive neurodynamics"},{"key":"10.1016\/j.neunet.2017.01.004_br000165","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1002\/cplx.21618","article-title":"Stability analysis of memristor-based complex-valued recurrent neural networks with time delays","volume":"21","author":"Rakkiyappan","year":"2016","journal-title":"Complexity"},{"key":"10.1016\/j.neunet.2017.01.004_br000170","doi-asserted-by":"crossref","first-page":"838","DOI":"10.1016\/j.neucom.2010.11.018","article-title":"Stochastic dissipativity analysis on discrete-time neural networks with time-varying delays","volume":"74","author":"Song","year":"2011","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neunet.2017.01.004_br000175","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1007\/s11431-014-5536-y","article-title":"Stability switches and Bogdanov-Takens bifurcation in an inertial two-neuron coupling system with multiple delays","volume":"57","author":"Song","year":"2014","journal-title":"Science China Technological Science"},{"key":"10.1016\/j.neunet.2017.01.004_br000180","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.neunet.2016.03.007","article-title":"Global exponential stability of complex-valued neural networks with both time-varying delays and impulsive effects","volume":"79","author":"Song","year":"2016","journal-title":"Neural Networks"},{"key":"10.1016\/j.neunet.2017.01.004_br000185","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/j.chaos.2004.11.035","article-title":"Global dissipativity of neural networks with both variable and unbounded delays","volume":"25","author":"Song","year":"2005","journal-title":"Chaos, Solitons & Fractals"},{"key":"10.1016\/j.neunet.2017.01.004_br000190","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1038\/nature06932","article-title":"The missing memristor found","volume":"453","author":"Strukov","year":"2008","journal-title":"Nature"},{"key":"10.1016\/j.neunet.2017.01.004_br000195","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1038\/453042a","article-title":"Electronic: The fourth element","volume":"453","author":"Tour","year":"2008","journal-title":"Nature"},{"key":"10.1016\/j.neunet.2017.01.004_br000200","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1109\/LED.2010.2049560","article-title":"Delayed switching in memristors and memristive systems","volume":"31","author":"Wang","year":"2010","journal-title":"IEEE Electron Device Letters"},{"key":"10.1016\/j.neunet.2017.01.004_br000205","doi-asserted-by":"crossref","first-page":"1707","DOI":"10.1007\/s00521-013-1383-1","article-title":"Global exponential stability of a class of memristive neural networks with time-varying delays","volume":"24","author":"Wang","year":"2013","journal-title":"Neural Computing & Applications"},{"key":"10.1016\/j.neunet.2017.01.004_br000210","first-page":"1","article-title":"On extended dissipativity analysis for neural networks with time-varying delay and general activation functions","volume":"1","author":"Wang","year":"2016","journal-title":"Advances in Difference Equations"},{"key":"10.1016\/j.neunet.2017.01.004_br000215","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.neucom.2014.10.070","article-title":"Global dissipativity of a class of BAM neural networks with both time-varying and continuously distributed delays","volume":"152","author":"Wang","year":"2015","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neunet.2017.01.004_br000220","doi-asserted-by":"crossref","first-page":"2270","DOI":"10.1016\/j.jfranklin.2011.06.017","article-title":"Global dissipativity of delayed neural networks with impulses","volume":"348","author":"Wu","year":"2011","journal-title":"Journal of the Franklin Institute"},{"key":"10.1016\/j.neunet.2017.01.004_br000225","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1109\/TNNLS.2013.2271046","article-title":"Dissipativity analysis for discrete-time stochastic neural networks with time-varying delays","volume":"24","author":"Wu","year":"2013","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"1","key":"10.1016\/j.neunet.2017.01.004_br000230","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.ins.2011.07.044","article-title":"Synchronization control of a class of memristor-based recurrent neural networks","volume":"183","author":"Wu","year":"2012","journal-title":"Information Sciences"},{"key":"10.1016\/j.neunet.2017.01.004_br000235","doi-asserted-by":"crossref","first-page":"1919","DOI":"10.1109\/TNNLS.2012.2219554","article-title":"Exponential stabilization of memristive neural networks with time delays","volume":"23","author":"Wu","year":"2012","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.neunet.2017.01.004_br000240","doi-asserted-by":"crossref","first-page":"690","DOI":"10.1109\/TNNLS.2013.2280458","article-title":"Lagrange stability of memristive neural networks with discrete and distributed delays","volume":"25","author":"Wu","year":"2014","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.neunet.2017.01.004_br000245","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.neucom.2012.02.019","article-title":"Bogdanov-Takens bifurcation in a single inertial neuron model with delay","volume":"89","author":"Xing","year":"2012","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neunet.2017.01.004_br000250","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.neunet.2015.01.008","article-title":"pth moment exponential stochastic synchronization of coupled memristor-based neural networks with mixed delays via delayed impulsive control","volume":"65","author":"Yang","year":"2015","journal-title":"Neural Networks"},{"key":"10.1016\/j.neunet.2017.01.004_br000255","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1007\/s11571-013-9277-6","article-title":"Exponential synchronization of memristive Cohen-Grossberg neural networks with mixed delays","volume":"8","author":"Yang","year":"2014","journal-title":"Cognitive Neurodynamics"},{"key":"10.1016\/j.neunet.2017.01.004_br000260","doi-asserted-by":"crossref","first-page":"1077","DOI":"10.1109\/TSMC.2014.2388199","article-title":"Robust synchronization of multiple memristive neural networks with uncertain parameters via nonlinear coupling","volume":"45","author":"Yang","year":"2015","journal-title":"IEEE Transactions on Systems Man and Cybernetics Systems"},{"key":"10.1016\/j.neunet.2017.01.004_br000265","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.1109\/TCSI.2003.817760","article-title":"Global exponential stability of a general class of recurrent neural networks with time-varying delays","volume":"50","author":"Zeng","year":"2003","journal-title":"IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications"},{"key":"10.1016\/j.neunet.2017.01.004_br000270","doi-asserted-by":"crossref","first-page":"1701","DOI":"10.1109\/TNNLS.2013.2264106","article-title":"New algebraic criteria for synchronization stability of chaotic memristive neural networks with time-varying delays","volume":"24","author":"Zhang","year":"2013","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.neunet.2017.01.004_br000275","doi-asserted-by":"crossref","first-page":"1431","DOI":"10.1109\/TNNLS.2014.2345125","article-title":"Exponential stabilization of memristor-based chaotic neural networks with time-varying delays via intermittent control","volume":"26","author":"Zhang","year":"2014","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.neunet.2017.01.004_br000280","doi-asserted-by":"crossref","first-page":"1781","DOI":"10.1007\/s00521-015-1838-7","article-title":"Exponential stability of inertial BAM neural networks with time-varying delay via periodically intermittent control","volume":"26","author":"Zhang","year":"2015","journal-title":"Neural Computing and Applications"},{"key":"10.1016\/j.neunet.2017.01.004_br000285","doi-asserted-by":"crossref","first-page":"1229","DOI":"10.1109\/TNNLS.2014.2317880","article-title":"A comprehensive review of stability analysis of continuous-time recurrent neural networks","volume":"25","author":"Zhang","year":"2014","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"}],"container-title":["Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608017300047?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608017300047?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2022,7,2]],"date-time":"2022-07-02T20:14:28Z","timestamp":1656792868000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0893608017300047"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4]]},"references-count":57,"alternative-id":["S0893608017300047"],"URL":"https:\/\/doi.org\/10.1016\/j.neunet.2017.01.004","relation":{},"ISSN":["0893-6080"],"issn-type":[{"value":"0893-6080","type":"print"}],"subject":[],"published":{"date-parts":[[2017,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Global dissipativity of memristor-based neutral type inertial neural networks","name":"articletitle","label":"Article Title"},{"value":"Neural Networks","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neunet.2017.01.004","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2017 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}