{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T10:54:04Z","timestamp":1760784844837},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2020,4,17]],"date-time":"2020-04-17T00:00:00Z","timestamp":1587081600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,4,17]],"date-time":"2020-04-17T00:00:00Z","timestamp":1587081600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Syst Sci Complex"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s11424-020-8209-x","type":"journal-article","created":{"date-parts":[[2020,4,19]],"date-time":"2020-04-19T15:02:41Z","timestamp":1587308561000},"page":"672-684","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["General Decay Synchronization for Recurrent Neural Networks with Mixed Time Delays"],"prefix":"10.1007","volume":"33","author":[{"given":"Ahmadjan","family":"Muhammadhaji","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhidong","family":"Teng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,4,17]]},"reference":[{"key":"8209_CR1","doi-asserted-by":"publisher","first-page":"1273","DOI":"10.1109\/31.7601","volume":"35","author":"L O Chua","year":"1988","unstructured":"Chua L O and Yang L, Cellular neural networks: Applications, IEEE Trans. Circuits Syst., 1988, 35: 1273\u20131290.","journal-title":"IEEE Trans. Circuits Syst."},{"key":"8209_CR2","volume-title":"Neural Networks","author":"S Haykin","year":"1994","unstructured":"Haykin S, Neural Networks, Prentice-Hall, New Jersey, 1994."},{"issue":"10","key":"8209_CR3","doi-asserted-by":"publisher","first-page":"198","DOI":"10.3792\/pjaa.80.198","volume":"80","author":"T G Stamov","year":"2004","unstructured":"Stamov T G, Impulsive cellular neural networks and almost periodicity, Proc. Jpn. Acad., 2004, 80(10): 198\u2013203.","journal-title":"Proc. Jpn. Acad."},{"key":"8209_CR4","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1016\/S0096-3003(03)00750-1","volume":"154","author":"K Gopalsamy","year":"2004","unstructured":"Gopalsamy K, Stability of artificial neural networks with impulses, Appl. Math. Comput., 2004, 154: 783\u2013813.","journal-title":"Appl. Math. Comput."},{"issue":"10","key":"8209_CR5","doi-asserted-by":"publisher","first-page":"1353","DOI":"10.1109\/TCSI.2003.817760","volume":"50","author":"Z G Zeng","year":"2003","unstructured":"Zeng Z G, Wang J, and Liao X X, Global exponential stability of a general class of recurrent neural networks with time-varying delays, IEEE Trans. Circuits Syst. I, 2003, 50(10): 1353\u20131358.","journal-title":"IEEE Trans. Circuits Syst. I"},{"key":"8209_CR6","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/j.neunet.2003.08.007","volume":"17","author":"J D Cao","year":"2004","unstructured":"Cao J D and Wang J, Absolute exponential stability of recurrent neural networks with Lipschitzcontinuous activation functions and time delays, Neural Netw., 2004, 17: 379\u2013390.","journal-title":"Neural Netw."},{"issue":"3-4","key":"8209_CR7","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/s11071-005-9011-y","volume":"45","author":"X Huang","year":"2006","unstructured":"Huang X, Cao J D, and Ho D W C, Existence and attractivity of almost periodic solution for recurrent neural networks with unbounded delays and variable coefficients, Nonlinear Dyn., 2006, 45(3-4): 337\u2013351.","journal-title":"Nonlinear Dyn."},{"issue":"5","key":"8209_CR8","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1109\/TNN.2007.912319","volume":"19","author":"H G Zhang","year":"2008","unstructured":"Zhang H G, Wang Z S, and Liu D R, Global asymptotic stability of recurrent neural networks with multiple time-varying delays, IEEE Trans. Neural Netw., 2008, 19(5): 855\u2013873.","journal-title":"IEEE Trans. Neural Netw."},{"issue":"6","key":"8209_CR9","doi-asserted-by":"publisher","first-page":"853","DOI":"10.1109\/TNNLS.2012.2195028","volume":"23","author":"J Hu","year":"2012","unstructured":"Hu J and Wang J, Global stability of complex-valued recurrent neural networks with time-delays, IEEE Trans. Neural Netw. Learn. Syst., 2012, 23(6): 853\u2013865.","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"8209_CR10","doi-asserted-by":"publisher","first-page":"2354","DOI":"10.1016\/j.jfranklin.2013.05.026","volume":"350","author":"S P Wen","year":"2013","unstructured":"Wen S P, Zeng Z G, Huang T W, et al., Passivity analysis of memristor-based recurrent neural networks with time-varying delays, J. Frankl. Inst., 2013, 350: 2354\u20132370.","journal-title":"J. Frankl. Inst."},{"key":"8209_CR11","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.isatra.2015.11.008","volume":"60","author":"L Q Zhou","year":"2016","unstructured":"Zhou L Q and Zhang Y Y, Global exponential periodicity and stability of recurrent neural networks with multi-proportional delays, ISA Trans., 2016, 60: 89\u201395.","journal-title":"ISA Trans."},{"key":"8209_CR12","doi-asserted-by":"publisher","first-page":"982","DOI":"10.1016\/j.physa.2007.10.010","volume":"387","author":"T Li","year":"2008","unstructured":"Li T, Fei S M, and Zhang K J, Synchronization control of recurrent neural networks with distributed delays, Physica A, 2008, 387: 982\u2013996.","journal-title":"Physica A"},{"key":"8209_CR13","doi-asserted-by":"publisher","first-page":"3043","DOI":"10.1016\/j.neucom.2011.04.016","volume":"74","author":"A L Wu","year":"2011","unstructured":"Wu A L, Zeng Z G, Zhu X S, et al., Exponential synchronization of memristor-based recurrent neural networks with time delays, Neurocomputing, 2011, 74: 3043\u20133050.","journal-title":"Neurocomputing"},{"key":"8209_CR14","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.ins.2011.07.044","volume":"183","author":"A L Wu","year":"2012","unstructured":"Wu A L, Wen S P, and Zeng Z G, Synchronization control of a class of memristor-based recurrent neural networks, Inf. Sci., 2012, 183: 106\u2013116.","journal-title":"Inf. Sci."},{"key":"8209_CR15","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.neunet.2014.11.005","volume":"63","author":"M H Jiang","year":"2015","unstructured":"Jiang M H, Wang S T, Mei J, et al., Finite-time synchronization control of a class of memristorbased recurrent neural networks, Neural Netw., 2015, 63: 133\u2013140.","journal-title":"Neural Netw."},{"key":"8209_CR16","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1016\/j.neucom.2018.08.063","volume":"318","author":"Z Q Zhang","year":"2018","unstructured":"Zhang Z Q, Li A L, and Yu S H, Finite-time synchronization for delayed complex-valued neural networks via integrating inequality method, Neurocomputing, 2018, 318: 248\u2013260.","journal-title":"Neurocomputing"},{"key":"8209_CR17","doi-asserted-by":"publisher","first-page":"4108","DOI":"10.1016\/j.cnsns.2011.02.033","volume":"16","author":"C Liu","year":"2011","unstructured":"Liu C, Li C D, and Li C J, Quasi-synchronization of delayed chaotic systems with parameters mismatch and stochastic perturbation, Commun. Nonlinear Sci. Numer. Simulat., 2011, 16: 4108\u20134119.","journal-title":"Commun. Nonlinear Sci. Numer. Simulat."},{"key":"8209_CR18","doi-asserted-by":"publisher","first-page":"2627","DOI":"10.1007\/s11071-014-1614-8","volume":"78","author":"A Abdurahman","year":"2014","unstructured":"Abdurahman A, Jiang H J, and Teng Z D, Function projective synchronization of impulsive neural networks with mixed time-varying delays, Nonlinear Dyn., 2014, 78: 2627\u20132638.","journal-title":"Nonlinear Dyn."},{"key":"8209_CR19","first-page":"1","volume":"2017","author":"A Muhammadhaji","year":"2017","unstructured":"Muhammadhaji A, Abdurahman A, and Jiang H J, Finite-time synchronization of complex dynamical networks with time-varying delays and nonidentical nodes, J. Ctrl. Sci. Eng., 2017, 2017: 1\u201313.","journal-title":"J. Ctrl. Sci. Eng."},{"key":"8209_CR20","doi-asserted-by":"publisher","first-page":"7028","DOI":"10.1016\/j.jfranklin.2017.08.013","volume":"354","author":"A Abdurahman","year":"2017","unstructured":"Abdurahman A, Jiang H J, and Hu C, General decay synchronization of memristor-based Cohen-Grossberg neural networks with mixed time-delays and discontinuous activations, J. Frankl. Inst., 2017, 354: 7028\u20137052.","journal-title":"J. Frankl. Inst."},{"key":"8209_CR21","doi-asserted-by":"publisher","first-page":"1253","DOI":"10.1016\/j.nonrwa.2007.03.005","volume":"9","author":"M F Hu","year":"2008","unstructured":"Hu M F and Xu Z Y, Adaptive feedback controller for projective synchronization, Nonlinear Anal. RWA, 2008, 9: 1253\u20131260.","journal-title":"Nonlinear Anal. RWA"},{"key":"8209_CR22","volume-title":"Nonlinear Dyn.","author":"Z Q Zhang","year":"2018","unstructured":"Zhang Z Q and Ren L, New sufficient conditions on global asymptotic synchronization of inertial delayed neural networks by using integrating inequality techniques, Nonlinear Dyn., 2018, https:\/\/doi.org\/10.1007\/s11071-018-4603-5."},{"issue":"3","key":"8209_CR23","doi-asserted-by":"publisher","first-page":"1759","DOI":"10.1007\/s11071-016-2603-x","volume":"84","author":"Y Li","year":"2016","unstructured":"Li Y and Li C D, Matrix measure strategies for stabilization and synchronization of delayed BAM neural networks, Nonlinear Dyn., 2016, 84(3): 1759\u20131770.","journal-title":"Nonlinear Dyn."},{"key":"8209_CR24","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/j.neunet.2014.02.003","volume":"53","author":"J D Cao","year":"2014","unstructured":"Cao J D and Wan Y, Matrix measure strategies for stability and synchronization of inertial BAM neural network with time delays, Neural Netw., 2014, 53: 165\u2013172.","journal-title":"Neural Netw."},{"key":"8209_CR25","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1016\/j.neucom.2016.09.049","volume":"219","author":"J Y Xiao","year":"2017","unstructured":"Xiao J Y, Zhong S M, Li Y T, et al., Finite-time Mittag-Leffler synchronization of fractional-order memristive BAM neural networks with time delays, Neurocomputing, 2017, 219: 431\u2013439.","journal-title":"Neurocomputing"},{"issue":"8","key":"8209_CR26","doi-asserted-by":"publisher","first-page":"3815","DOI":"10.1109\/TNNLS.2017.2741349","volume":"29","author":"D S Wang","year":"2018","unstructured":"Wang D S, Huang L H, and Tang L K, Dissipativity and synchronization of generalized BAM neural networks with multivariate discontinuous activations, IEEE Trans. Neural Netw. Learn. Syst., 2018, 29(8): 3815\u20133827.","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"8209_CR27","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.neunet.2017.08.012","volume":"96","author":"C Chen","year":"2017","unstructured":"Chen C, Li L X, Peng H P, et al., Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay, Neural Netw., 2017, 96: 47\u201354.","journal-title":"Neural Netw."},{"issue":"10","key":"8209_CR28","doi-asserted-by":"publisher","first-page":"2300","DOI":"10.1109\/TCYB.2015.2475277","volume":"46","author":"L M Wang","year":"2016","unstructured":"Wang L M, Shen Y, and Zhang G D, Synchronization of a class of switched neural networks with time-varying delays via nonlinear feedback control, IEEE Trans. Cyber., 2016, 46(10): 2300\u20132310.","journal-title":"IEEE Trans. Cyber."},{"key":"8209_CR29","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.neucom.2015.11.077","volume":"179","author":"L M Wang","year":"2016","unstructured":"Wang L M, Shen Y, and Zhang G D, General decay synchronization stability for a class of delayed chaotic neural networks with discontinuous activations, Neurocomputing, 2016, 179: 169\u2013175.","journal-title":"Neurocomputing"},{"key":"8209_CR30","first-page":"211","volume":"335","author":"J Wang","year":"2018","unstructured":"Wang J, Shi K B, Huang Q Z, et al., Stochastic switched sampled-data control for synchronization of delayed chaotic neural networks with packet dropout, Appl. Math. Comput., 2018, 335: 211\u2013230.","journal-title":"Appl. Math. Comput."},{"key":"8209_CR31","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.isatra.2016.11.002","volume":"66","author":"K B Shi","year":"2017","unstructured":"Shi K B, Tang Y Y, Liu X Z, et al., Non-fragile sampled-data robust synchronization of uncertain delayed chaotic Lurie systems with randomly occurring controller gain fluctuation, ISA Trans., 2017, 66: 185\u2013199.","journal-title":"ISA Trans."},{"issue":"5","key":"8209_CR32","doi-asserted-by":"publisher","first-page":"1693","DOI":"10.1002\/rnc.3980","volume":"28","author":"K B Shi","year":"2018","unstructured":"Shi K B, Tang Y Y, Zhong S M, et al., Recursive filtering for state-saturated systems with randomly occurring nonlinearities and missing measurements, Int. J. Robust Nonliner Ctrl., 2018, 28(5): 1693\u20131714.","journal-title":"Int. J. Robust Nonliner Ctrl."}],"container-title":["Journal of Systems Science and Complexity"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11424-020-8209-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11424-020-8209-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11424-020-8209-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,17]],"date-time":"2021-04-17T00:02:36Z","timestamp":1618617756000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11424-020-8209-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,17]]},"references-count":32,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["8209"],"URL":"https:\/\/doi.org\/10.1007\/s11424-020-8209-x","relation":{},"ISSN":["1009-6124","1559-7067"],"issn-type":[{"value":"1009-6124","type":"print"},{"value":"1559-7067","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4,17]]},"assertion":[{"value":"17 July 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 November 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 April 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}