{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T06:24:10Z","timestamp":1777443850834,"version":"3.51.4"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2018,1,2]],"date-time":"2018-01-02T00:00:00Z","timestamp":1514851200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1007\/s13042-017-0779-0","type":"journal-article","created":{"date-parts":[[2018,1,2]],"date-time":"2018-01-02T09:10:51Z","timestamp":1514884251000},"page":"1025-1035","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A new global robust stability condition for uncertain neural networks with discrete and distributed delays"],"prefix":"10.1007","volume":"10","author":[{"given":"Hao","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shouming","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,1,2]]},"reference":[{"issue":"5","key":"779_CR1","doi-asserted-by":"publisher","first-page":"967","DOI":"10.1080\/00207170110047190","volume":"74","author":"K Gu","year":"2001","unstructured":"Gu K (2001) A further refinement of discretized Lyapunov functional method for the stability of time-delay systmes. Int J Control 74(5):967\u2013976","journal-title":"Int J Control"},{"issue":"5","key":"779_CR2","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1016\/j.physleta.2008.12.005","volume":"373","author":"OM Kwon","year":"2009","unstructured":"Kwon OM, Park JH (2009) Improved delay-dependent stability criterion for neural networks with time-varying delays. Phys Lett A 373(5):529\u2013535","journal-title":"Phys Lett A"},{"key":"779_CR3","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.automatica.2016.10.020","volume":"76","author":"YQ Wu","year":"2017","unstructured":"Wu YQ, Lu RQ, Shi P, Su HY, Su ZGWu (2017) Adaptive output synchronization of heterogeneous network with an uncertain leader. Automatica. 76:183\u2013192","journal-title":"Automatica."},{"key":"779_CR4","doi-asserted-by":"publisher","unstructured":"Dong SL, Wu ZG, Shi P, Su HY, Lu RQ (2017) Reliable control of fuzzy systems with quantization and switched actuator failures. IEEE Trans Syst Man Cybern Syst. \n                    https:\/\/doi.org\/10.1109\/TSMC.2016.2636222","DOI":"10.1109\/TSMC.2016.2636222"},{"key":"779_CR5","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.fss.2016.06.007","volume":"314","author":"J Cheng","year":"2017","unstructured":"Cheng J, Park JH, Liu Y, Liu Z, Tang L (2017) Finite-time \n                    \n                      \n                    \n                    $$H_{1}$$\n                    \n                      \n                        \n                          H\n                          1\n                        \n                      \n                    \n                   fuzzy control of nonlinear Markovian jump delayed systems with partly uncertain transition descriptions. Fuzzy Sets Syst 314:99\u2013115","journal-title":"Fuzzy Sets Syst"},{"key":"779_CR6","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1016\/j.ins.2017.03.009","volume":"399","author":"J Cheng","year":"2017","unstructured":"Cheng J, Park JH, Karimic HR, Zhao X (2017) Static output feedback control of nonhomogeneous Markovian jump systems with asynchronous time delays. Inf Sci 399:219\u2013238","journal-title":"Inf Sci"},{"key":"779_CR7","doi-asserted-by":"publisher","unstructured":"Wu ZG, Shi P, Shu Z, Su HY, Lu RQ (2017) Passivity-based asynchronous control for Markov jump systems. IEEE Trans Autom Control 62(4):2020\u20132025. \n                    https:\/\/doi.org\/10.1109\/TAC.2016.2593742","DOI":"10.1109\/TAC.2016.2593742"},{"issue":"7","key":"779_CR8","doi-asserted-by":"publisher","first-page":"1794","DOI":"10.1109\/TAC.2015.2479195","volume":"61","author":"H Lin","year":"2016","unstructured":"Lin H, Su HY, Shu Z, Wu ZG, Xu Y (2016) Optimal estimation in UDP-like networked control systems with intermittent inputs: stability analysis and suboptimal filter design. IEEE Trans Autom Control 61(7):1794\u20131809","journal-title":"IEEE Trans Autom Control"},{"key":"779_CR9","doi-asserted-by":"publisher","unstructured":"Dong SL, Su HY, Shi P, Lu RQ, Wu ZG (2016) Filtering for discrete-time switched fuzzy systems with quantization. IEEE Trans Fuzzy Syst. \n                    https:\/\/doi.org\/10.1109\/TFUZZ.2016.2612699","DOI":"10.1109\/TFUZZ.2016.2612699"},{"issue":"2","key":"779_CR10","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1109\/TNNLS.2015.2511196","volume":"28","author":"H Shen","year":"2017","unstructured":"Shen H, Zhu Y, Zhang L, Park JH (2017) Extended dissipative state estimation for Markov jump neural networks with unreliable links. IEEE Trans Neural Netw Learn Syst 28(2):346\u2013358","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"779_CR11","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.automatica.2016.09.040","volume":"75","author":"YQ Wu","year":"2017","unstructured":"Wu YQ, Meng XY, Xie LH, Lu RQ, Su HY, Wu ZG (2017) An input-based triggering approach to leader-following problems. Automatica 75:221\u2013228","journal-title":"Automatica"},{"key":"779_CR12","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.fss.2016.09.007","volume":"314","author":"H Shen","year":"2017","unstructured":"Shen H, Su L, Park JH (2017) Reliable mixed \n                    \n                      \n                    \n                    $$H_{\\infty }$$\n                    \n                      \n                        \n                          H\n                          \u221e\n                        \n                      \n                    \n                   passive control for T-S fuzzy delayed systems based on a semi-Markov jump model approach. Fuzzy Sets Syst 314:79\u201398","journal-title":"Fuzzy Sets Syst"},{"issue":"1","key":"779_CR13","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/s11063-017-9590-x","volume":"46","author":"C Zhou","year":"2017","unstructured":"Zhou C, Zhang WL, Yang XS, Xu C, Feng JW (2017) Finite-time synchronization of complex-valued neural networks with mixed delays and uncertain perturbations. Neural Process Lett 46(1):271\u2013291. \n                    https:\/\/doi.org\/10.1007\/s11063-017-9590-x","journal-title":"Neural Process Lett"},{"issue":"8","key":"779_CR14","doi-asserted-by":"publisher","first-page":"5048","DOI":"10.1109\/TWC.2017.2705062","volume":"16","author":"SM Gong","year":"2017","unstructured":"Gong SM, Wu SXX, So AMC, Huang XX (2017) Distributionally robust collaborative beamforming in D2D relay networks with interference constraints. IEEE Trans Wirel Commun 16(8):5048\u20135060. \n                    https:\/\/doi.org\/10.1109\/TWC.2017.2705062","journal-title":"IEEE Trans Wirel Commun"},{"key":"779_CR15","doi-asserted-by":"publisher","unstructured":"Feng JQ, Ma Q, Qin ST (2017) Exponential stability of periodic solution for impulsive memristor-based Cohen-Grossberg neural networks with mixed delays. Int J Pattern Recognit Intell. \n                    https:\/\/doi.org\/10.1142\/S0218001417500227","DOI":"10.1142\/S0218001417500227"},{"key":"779_CR16","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.neunet.2016.10.006","volume":"85","author":"XS Yang","year":"2017","unstructured":"Yang XS, Feng ZG, Feng JW, Cao JD (2017) Synchronization of discrete-time neural networks with delays and Markov jump topologies based on tracker information. Neural Netw 85:157\u2013164. \n                    https:\/\/doi.org\/10.1016\/j.neunet.2016.10.006","journal-title":"Neural Netw"},{"issue":"1","key":"779_CR17","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/j.neucom.2014.04.040","volume":"142","author":"N Ozcan","year":"2014","unstructured":"Ozcan N, Arik S (2014) New global robust stability condition for uncertain neural networks with time delays. Neurocomputing 142(1):267\u2013274","journal-title":"Neurocomputing"},{"key":"779_CR18","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1016\/j.cam.2006.08.017","volume":"206","author":"WW Yu","year":"2007","unstructured":"Yu WW, Yao LL (2007) Global robust stability of neural networks with time varying delays. J Comput Appl math 206:679\u2013687","journal-title":"J Comput Appl math"},{"issue":"7","key":"779_CR19","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.neucom.2012.12.016","volume":"111","author":"S Lakshmanan","year":"2013","unstructured":"Lakshmanan S, Park JH, Jung HY, Kwon OM, Rakkiyappan R (2013) A delay patitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays. Neurocomputing 111(7):81\u201389","journal-title":"Neurocomputing"},{"issue":"15","key":"779_CR20","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1016\/j.neucom.2012.05.018","volume":"97","author":"JK Tian","year":"2012","unstructured":"Tian JK, Zhong SM, Wang Y (2012) Improved exponential stability criteria for neual networks with time-varying delays. Neurocpmpting 97(15):164\u2013173","journal-title":"Neurocpmpting"},{"issue":"3","key":"779_CR21","doi-asserted-by":"publisher","first-page":"1117","DOI":"10.1016\/j.cnsns.2011.08.022","volume":"17","author":"JL Shao","year":"2012","unstructured":"Shao JL, Huang TZ, Wang XP (2012) Further analysis on global exponential stability of neural networks with time-varying delays. Commun Nonlinear Sci Numer Simul 17(3):1117\u20131124","journal-title":"Commun Nonlinear Sci Numer Simul"},{"issue":"12","key":"779_CR22","doi-asserted-by":"publisher","first-page":"15587","DOI":"10.1016\/j.eswa.2011.05.066","volume":"38","author":"JL Shao","year":"2011","unstructured":"Shao JL, Huang TZ, Wang XP (2011) Improved global robust exponential stability criteria for interval neural networks with time-varying delays. Expert Syst Appl 38(12):15587\u201315593","journal-title":"Expert Syst Appl"},{"issue":"3","key":"779_CR23","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/s11768-009-8031-4","volume":"7","author":"JL Shao","year":"2009","unstructured":"Shao JL, Huang TZ (2009) A new result on global exponential robust stability of neural networks with time-varying delays. J Control Theory Appl 7(3):315\u2013320","journal-title":"J Control Theory Appl"},{"issue":"1","key":"779_CR24","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.neucom.2012.07.004","volume":"99","author":"O Faydasicok","year":"2013","unstructured":"Faydasicok O, Arik S (2013) A new robust stability criterion for dynamical neural networks with multiple time delays. Neuraocomputing 99(1):290\u2013297","journal-title":"Neuraocomputing"},{"issue":"3","key":"779_CR25","doi-asserted-by":"publisher","first-page":"813","DOI":"10.1016\/j.jfranklin.2011.11.007","volume":"349","author":"O Faydasicok","year":"2011","unstructured":"Faydasicok O, Arik S (2011) Further analysis of global robust stability of neural networks with multiple time delays. J Frankl Inst 349(3):813\u2013825","journal-title":"J Frankl Inst"},{"issue":"5","key":"779_CR26","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1016\/j.physleta.2006.06.055","volume":"359","author":"N Ozcan","year":"2006","unstructured":"Ozcan N, Arik S (2006) An analysis of global robust stability of neural networks with discrete time delays. Phys Lett A 359(5):445\u2013450","journal-title":"Phys Lett A"},{"issue":"6","key":"779_CR27","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1016\/S0375-9601(03)00569-3","volume":"311","author":"S Arik","year":"2002","unstructured":"Arik S (2002) Global asymptotic stabilty of a larger class of neural networks with constant time delay. Phys Lett A 311(6):504\u2013511","journal-title":"Phys Lett A"},{"key":"779_CR28","doi-asserted-by":"publisher","unstructured":"Duan L, Huang LH, Fang XW (2017) Finite-time synchronization for recurrent neural networks with discontinuous activations and time-varying delays. Chaos 27(1):013101. \n                    https:\/\/doi.org\/10.1063\/1.4966177","DOI":"10.1063\/1.4966177"},{"key":"779_CR29","doi-asserted-by":"publisher","unstructured":"Duan L, Huang LH, Guo ZY (2017) Golbal robust dissipativity of interval recurrent neural networks with time-varying delay and discontinuous activations. Chaos 26(7):073101. \n                    https:\/\/doi.org\/10.1063\/1.4945798","DOI":"10.1063\/1.4945798"},{"issue":"21","key":"779_CR30","first-page":"10487","volume":"219","author":"L Shi","year":"2013","unstructured":"Shi L, Zhu H, Zhong SM, Hou LY (2013) Globally exponetial stability for nerual networks with time-varying delays. Appl Math Comput 219(21):10487\u201310498","journal-title":"Appl Math Comput"},{"issue":"17","key":"779_CR31","doi-asserted-by":"publisher","first-page":"3365","DOI":"10.1016\/j.neucom.2011.05.024","volume":"74","author":"JK Tian","year":"2011","unstructured":"Tian JK, Zhong SM (2011) New delay-dependent exponential stability criteria for neural networks with discrete and distributed time-varying delays. Neurocomputing 74(17):3365\u20133375","journal-title":"Neurocomputing"},{"issue":"5","key":"779_CR32","doi-asserted-by":"publisher","first-page":"1538","DOI":"10.1016\/j.chaos.2006.10.044","volume":"37","author":"Q Song","year":"2008","unstructured":"Song Q, Wang Z (2008) Neural networks with discrete and distributed time-varying delay: a general stability snalysis. Chaos Solitons Fractals 37(5):1538\u20131547","journal-title":"Chaos Solitons Fractals"},{"issue":"4","key":"779_CR33","doi-asserted-by":"publisher","first-page":"1213","DOI":"10.1016\/j.chaos.2006.03.121","volume":"34","author":"C Lien","year":"2007","unstructured":"Lien C, Chung L (2007) Global asymptotic stability for cellular neural networks with discrete and distributed time-varying delays. Chaos Solitons Fractals 34(4):1213\u20131219","journal-title":"Chaos Solitons Fractals"},{"issue":"4","key":"779_CR34","doi-asserted-by":"publisher","first-page":"2581","DOI":"10.1016\/j.nonrwa.2008.03.004","volume":"10","author":"T Li","year":"2009","unstructured":"Li T, Luo Q, Sun CY, Zhang BY (2009) Exponential stability of recurrent neural networks with time-varying discrete and distributed delays. Nonlinear Anal Real World Appl 10(4):2581\u20132589","journal-title":"Nonlinear Anal Real World Appl"},{"issue":"44","key":"779_CR35","doi-asserted-by":"publisher","first-page":"4066","DOI":"10.1016\/j.physleta.2009.09.006","volume":"373","author":"X Zhu","year":"2009","unstructured":"Zhu X, Wang Y (2009) Delay-dependent exponential stability for neural networks with discrete and distributed time-varying delays. Phys Lett A 373(44):4066\u20134072","journal-title":"Phys Lett A"},{"issue":"1","key":"779_CR36","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.chaos.2004.04.002","volume":"23","author":"JD Cao","year":"2005","unstructured":"Cao JD, Huang DS, Qu YZ (2005) Global robust stability of delayed recurrent neural networks. Chaos Solitons Fractals 23(1):221\u2013229","journal-title":"Chaos Solitons Fractals"},{"key":"779_CR37","first-page":"121","volume":"250","author":"H Chen","year":"2015","unstructured":"Chen H, Zhong SM, Shao JL (2015) Exponential stability criterion for interval neural networks with discrete and distributed delays. Appl Math Comput 250:121\u2013130","journal-title":"Appl Math Comput"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-017-0779-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-017-0779-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-017-0779-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,24]],"date-time":"2019-04-24T09:42:12Z","timestamp":1556098932000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-017-0779-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,2]]},"references-count":37,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2019,5]]}},"alternative-id":["779"],"URL":"https:\/\/doi.org\/10.1007\/s13042-017-0779-0","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1,2]]},"assertion":[{"value":"5 January 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 December 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 January 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}