{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T18:37:25Z","timestamp":1769366245335,"version":"3.49.0"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976081"],"award-info":[{"award-number":["61976081"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s11063-022-11054-7","type":"journal-article","created":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T08:03:31Z","timestamp":1666080211000},"page":"4499-4517","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Quasi-Synchronization for Fractional-Order Reaction\u2013Diffusion Quaternion-Valued Neural Networks: An LMI Approach"],"prefix":"10.1007","volume":"55","author":[{"given":"Xiangliang","family":"Sun","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8476-5112","authenticated-orcid":false,"given":"Xiaona","family":"Song","sequence":"additional","affiliation":[]},{"given":"Jingtao","family":"Man","sequence":"additional","affiliation":[]},{"given":"Nana","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,10,18]]},"reference":[{"issue":"11","key":"11054_CR1","doi-asserted-by":"crossref","first-page":"2287","DOI":"10.1016\/S0165-1684(03)00182-8","volume":"83","author":"TT Hartley","year":"2003","unstructured":"Hartley TT, Lorenzo CF (2003) Fractional-order system identification based on continuous order-distributions. Signal Process 83(11):2287\u20132300","journal-title":"Signal Process"},{"key":"11054_CR2","volume":"393","author":"J Liu","year":"2021","unstructured":"Liu J, Zhai R, Liu Y, Li W, Wang B, Huang L (2021) A quasi fractional order gradient descent method with adaptive stepsize and its application in system identification. Appl Math Comput 393:125797","journal-title":"Appl Math Comput"},{"key":"11054_CR3","volume":"130","author":"CZ Aguilar","year":"2020","unstructured":"Aguilar CZ, G\u00f3mez-Aguilar J, Alvarado-Mart\u00ednez V, Romero-Ugalde H (2020) Fractional order neural networks for system identification. Chaos Solitons Fractals 130:109444","journal-title":"Chaos Solitons Fractals"},{"issue":"2","key":"11054_CR4","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1007\/s11063-020-10413-6","volume":"53","author":"MS Ali","year":"2021","unstructured":"Ali MS, Hymavathi M (2021) Synchronization of fractional order neutral type fuzzy cellular neural networks with discrete and distributed delays via state feedback control. Neural Process Lett 53(2):929\u2013957","journal-title":"Neural Process Lett"},{"issue":"4","key":"11054_CR5","doi-asserted-by":"crossref","first-page":"595","DOI":"10.3390\/math8040595","volume":"8","author":"P Chanthorn","year":"2020","unstructured":"Chanthorn P, Rajchakit G, Ramalingam S, Lim CP, Ramachandran R (2020) Robust dissipativity analysis of Hopfield-type complex-valued neural networks with time-varying delays and linear fractional uncertainties. Mathematics 8(4):595","journal-title":"Mathematics"},{"issue":"4","key":"11054_CR6","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1109\/TSMC.2016.2606400","volume":"48","author":"W Fang","year":"2016","unstructured":"Fang W, Yao X, Zhao X, Yin J, Xiong N (2016) A stochastic control approach to maximize profit on service provisioning for mobile cloudlet platforms. IEEE Trans Syst Man Cybern Syst 48(4):522\u2013534","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"7","key":"11054_CR7","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1142\/S0218127498001170","volume":"8","author":"P Arena","year":"1998","unstructured":"Arena P, Caponetto R, Fortuna L, Porto D (1998) Bifurcation and chaos in noninteger order cellular neural networks. Int J Bifurc Chaos 8(7):1527\u20131539","journal-title":"Int J Bifurc Chaos"},{"issue":"1","key":"11054_CR8","doi-asserted-by":"crossref","first-page":"776","DOI":"10.1103\/PhysRevE.61.776","volume":"61","author":"P Arena","year":"2000","unstructured":"Arena P, Fortuna L, Porto D (2000) Chaotic behavior in noninteger-order cellular neural networks. Phys Rev E 61(1):776","journal-title":"Phys Rev E"},{"key":"11054_CR9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neunet.2013.11.016","volume":"51","author":"J Chen","year":"2014","unstructured":"Chen J, Zeng Z, Jiang P (2014) Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks. Neural Netw 51:1\u20138","journal-title":"Neural Netw"},{"issue":"3","key":"11054_CR10","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1007\/s00521-015-1876-1","volume":"27","author":"L Chen","year":"2016","unstructured":"Chen L, Liu C, Wu R, He Y, Chai Y (2016) Finite-time stability criteria for a class of fractional-order neural networks with delay. Neural Comput Appl 27(3):549\u2013556","journal-title":"Neural Comput Appl"},{"issue":"2","key":"11054_CR11","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1007\/s11063-020-10293-w","volume":"52","author":"C Huang","year":"2020","unstructured":"Huang C, Cao J (2020) Bifurcation mechanisation of a fractional-order neural network with unequal delays. Neural Process Lett 52(2):1171\u20131187","journal-title":"Neural Process Lett"},{"key":"11054_CR12","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2021.3120672","author":"J Lu","year":"2022","unstructured":"Lu J, Jiang B, Zheng WX (2022) Potential impacts of delay on stability of impulsive control systems. IEEE Trans Autom Control. https:\/\/doi.org\/10.1109\/TAC.2021.3120672","journal-title":"IEEE Trans Autom Control"},{"issue":"1","key":"11054_CR13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1029-242X-2013-292","volume":"2013","author":"P Niamsup","year":"2013","unstructured":"Niamsup P, Rajchakit M, Rajchakit G (2013) Guaranteed cost control for switched recurrent neural networks with interval time-varying delay. J Inequal Appl 2013(1):1\u201312","journal-title":"J Inequal Appl"},{"issue":"7","key":"11054_CR14","doi-asserted-by":"crossref","first-page":"4254","DOI":"10.1109\/TII.2019.2905659","volume":"15","author":"B Lin","year":"2019","unstructured":"Lin B, Zhu F, Zhang J, Chen J, Chen X, Xiong NN, Mauri JL (2019) A time-driven data placement strategy for a scientific workflow combining edge computing and cloud computing. IEEE Trans Ind Inform 15(7):4254\u20134265","journal-title":"IEEE Trans Ind Inform"},{"key":"11054_CR15","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.neunet.2016.05.003","volume":"81","author":"H Bao","year":"2016","unstructured":"Bao H, Park JH, Cao J (2016) Synchronization of fractional-order complex-valued neural networks with time delay. Neural Netw 81:16\u201328","journal-title":"Neural Netw"},{"key":"11054_CR16","first-page":"296","volume":"298","author":"L Zhang","year":"2017","unstructured":"Zhang L, Song Q, Zhao Z (2017) Stability analysis of fractional-order complex-valued neural networks with both leakage and discrete delays. Appl Math Comput 298:296\u2013309","journal-title":"Appl Math Comput"},{"key":"11054_CR17","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.chaos.2015.08.003","volume":"78","author":"R Rakkiyappan","year":"2015","unstructured":"Rakkiyappan R, Velmurugan G, Cao J (2015) Stability analysis of fractional-order complex-valued neural networks with time delays. Chaos Solitons Fractals 78:297\u2013316","journal-title":"Chaos Solitons Fractals"},{"issue":"5","key":"11054_CR18","doi-asserted-by":"crossref","first-page":"742","DOI":"10.3390\/math8050742","volume":"8","author":"P Chanthorn","year":"2020","unstructured":"Chanthorn P, Rajchakit G, Thipcha J, Emharuethai C, Sriraman R, Lim CP, Ramachandran R (2020) Robust stability of complex-valued stochastic neural networks with time-varying delays and parameter uncertainties. Mathematics 8(5):742","journal-title":"Mathematics"},{"issue":"5","key":"11054_CR19","doi-asserted-by":"crossref","first-page":"683","DOI":"10.3390\/sym12050683","volume":"12","author":"P Chanthorn","year":"2020","unstructured":"Chanthorn P, Rajchakit G, Humphries U, Kaewmesri P, Sriraman R, Lim CP (2020) A delay-dividing approach to robust stability of uncertain stochastic complex-valued hopfield delayed neural networks. Symmetry 12(5):683","journal-title":"Symmetry"},{"issue":"1","key":"11054_CR20","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1007\/s11063-019-10097-7","volume":"51","author":"M Syed Ali","year":"2020","unstructured":"Syed Ali M, Narayanan G, Orman Z, Shekher V, Arik S (2020) Finite time stability analysis of fractional-order complex-valued memristive neural networks with proportional delays. Neural Process Lett 51(1):407\u2013426","journal-title":"Neural Process Lett"},{"issue":"12","key":"11054_CR21","doi-asserted-by":"crossref","first-page":"2305","DOI":"10.1109\/TSMC.2017.2717866","volume":"48","author":"X Chen","year":"2017","unstructured":"Chen X, Song Q, Li Z (2017) Design and analysis of quaternion-valued neural networks for associative memories. IEEE Trans Syst Man Cybern Syst 48(12):2305\u20132314","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"5","key":"11054_CR22","doi-asserted-by":"crossref","first-page":"815","DOI":"10.3390\/math8050815","volume":"8","author":"U Humphries","year":"2020","unstructured":"Humphries U, Rajchakit G, Kaewmesri P, Chanthorn P, Sriraman R, Samidurai R, Lim CP (2020) Stochastic memristive quaternion-valued neural networks with time delays: an analysis on mean square exponential input-to-state stability. Mathematics 8(5):815","journal-title":"Mathematics"},{"issue":"12","key":"11054_CR23","doi-asserted-by":"crossref","first-page":"6527","DOI":"10.1007\/s00521-020-05417-1","volume":"33","author":"C Aouiti","year":"2021","unstructured":"Aouiti C, Bessifi M (2021) Periodically intermittent control for finite-time synchronization of delayed quaternion-valued neural networks. Neural Comput Appl 33(12):6527\u20136547","journal-title":"Neural Comput Appl"},{"issue":"11","key":"11054_CR24","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/TSMC.2017.2776940","volume":"49","author":"X Chen","year":"2017","unstructured":"Chen X, Song Q (2017) State estimation for quaternion-valued neural networks with multiple time delays. IEEE Trans Syst Man Cybern Syst 49(11):2278\u20132287","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"9","key":"11054_CR25","doi-asserted-by":"crossref","first-page":"4201","DOI":"10.1109\/TNNLS.2017.2755697","volume":"29","author":"Y Liu","year":"2017","unstructured":"Liu Y, Zhang D, Lou J, Lu J, Cao J (2017) Stability analysis of quaternion-valued neural networks: decomposition and direct approaches. IEEE Trans Neural Netw Learn Syst 29(9):4201\u20134211","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"10","key":"11054_CR26","doi-asserted-by":"crossref","first-page":"6223","DOI":"10.1002\/mma.6367","volume":"43","author":"A Pratap","year":"2020","unstructured":"Pratap A, Raja R, Alzabut J, Cao J, Rajchakit G, Huang C (2020) Mittag-Leffler stability and adaptive impulsive synchronization of fractional order neural networks in quaternion field. Math Methods Appl Sci 43(10):6223\u20136253","journal-title":"Math Methods Appl Sci"},{"key":"11054_CR27","doi-asserted-by":"publisher","unstructured":"Ali MS, Narayanan G, Nahavandi S, Wang J, Cao J (2021) Global dissipativity analysis and stability analysis for fractional-order quaternion-valued neural networks with time delays. IEEE Trans Syst Man Cybern Syst.(https:\/\/doi.org\/10.1109\/TSMC.2021.3065114)","DOI":"10.1109\/TSMC.2021.3065114"},{"key":"11054_CR28","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.3014659","author":"J Jian","year":"2020","unstructured":"Jian J, Wu K, Wang B (2020) Global Mittag-Leffler boundedness of fractional-order fuzzy quaternion-valued neural networks with linear threshold neurons. IEEE Trans Fuzzy Syst. https:\/\/doi.org\/10.1109\/TFUZZ.2020.3014659","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"5","key":"11054_CR29","doi-asserted-by":"crossref","first-page":"801","DOI":"10.3390\/math8050801","volume":"8","author":"U Humphries","year":"2020","unstructured":"Humphries U, Rajchakit G, Kaewmesri P, Chanthorn P, Sriraman R, Samidurai R, Lim CP (2020) Global stability analysis of fractional-order quaternion-valued bidirectional associative memory neural networks. Mathematics 8(5):801","journal-title":"Mathematics"},{"issue":"1","key":"11054_CR30","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1109\/TCSI.2020.3025681","volume":"68","author":"X Song","year":"2020","unstructured":"Song X, Man J, Song S, Ahn CK (2020) Finite\/fixed-time anti-synchronization of inconsistent Markovian quaternion-valued memristive neural networks with reaction\u2013diffusion terms. IEEE Trans Circuits Syst I Regul Pap 68(1):363\u2013375","journal-title":"IEEE Trans Circuits Syst I Regul Pap"},{"issue":"5","key":"11054_CR31","doi-asserted-by":"crossref","first-page":"2384","DOI":"10.1109\/TCYB.2020.2996619","volume":"51","author":"R Zhang","year":"2020","unstructured":"Zhang R, Zeng D, Park JH, Lam H-K, Xie X (2020) Fuzzy sampled-data control for synchronization of T-S fuzzy reaction-diffusion neural networks with additive time-varying delays. IEEE Trans Cybern 51(5):2384\u20132397","journal-title":"IEEE Trans Cybern"},{"issue":"3","key":"11054_CR32","doi-asserted-by":"crossref","first-page":"2529","DOI":"10.1007\/s11063-019-10026-8","volume":"50","author":"X Song","year":"2019","unstructured":"Song X, Man J, Fu Z, Wang M, Lu J (2019) Memory-based state estimation of T-S fuzzy Markov jump delayed neural networks with reaction-diffusion terms. Neural Process Lett 50(3):2529\u20132546","journal-title":"Neural Process Lett"},{"key":"11054_CR33","doi-asserted-by":"crossref","first-page":"130862","DOI":"10.1109\/ACCESS.2021.3113915","volume":"9","author":"G Narayanan","year":"2021","unstructured":"Narayanan G, Ali MS, Alam MI, Rajchakit G, Boonsatit N, Kumar P, Hammachukiattikul P (2021) Adaptive fuzzy feedback controller design for finite-time Mittag-Leffler synchronization of fractional-order quaternion-valued reaction\u2013diffusion fuzzy molecular modeling of delayed neural networks. IEEE Access 9:130862\u2013130883","journal-title":"IEEE Access"},{"issue":"6","key":"11054_CR34","doi-asserted-by":"crossref","first-page":"1421","DOI":"10.1007\/s00521-013-1349-3","volume":"24","author":"G Wang","year":"2014","unstructured":"Wang G, Shen Y (2014) Exponential synchronization of coupled memristive neural networks with time delays. Neural Comput Appl 24(6):1421\u20131430","journal-title":"Neural Comput Appl"},{"issue":"7","key":"11054_CR35","doi-asserted-by":"crossref","first-page":"1781","DOI":"10.1007\/s00521-015-1838-7","volume":"26","author":"W Zhang","year":"2015","unstructured":"Zhang W, Li C, Huang T, Tan J (2015) Exponential stability of inertial BAM neural networks with time-varying delay via periodically intermittent control. Neural Comput Appl 26(7):1781\u20131787","journal-title":"Neural Comput Appl"},{"issue":"4","key":"11054_CR36","doi-asserted-by":"crossref","first-page":"1728","DOI":"10.1109\/TCSI.2021.3134989","volume":"69","author":"L Li","year":"2022","unstructured":"Li L, Sun Y, Lu J, Cao J (2022) Dynamic quantization driven synchronization of networked systems under event-triggered mechanism. IEEE Trans Circuits Syst I Regul Pap 69(4):1728\u20131740","journal-title":"IEEE Trans Circuits Syst I Regul Pap"},{"key":"11054_CR37","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3090999","author":"Y Sun","year":"2021","unstructured":"Sun Y, Li L, Ho DW (2021) Quantized synchronization control of networked nonlinear systems: dynamic quantizer design with event-triggered mechanism. IEEE Trans Cybern. https:\/\/doi.org\/10.1109\/TCYB.2021.3090999","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"11054_CR38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1687-1847-2013-1","volume":"2013","author":"M Rajchakit","year":"2013","unstructured":"Rajchakit M, Niamsup P, Rajchakit G (2013) A switching rule for exponential stability of switched recurrent neural networks with interval time-varying delay. Adv Differ Equ 2013(1):1\u201310","journal-title":"Adv Differ Equ"},{"issue":"17","key":"11054_CR39","doi-asserted-by":"crossref","first-page":"13245","DOI":"10.1007\/s00521-019-04654-3","volume":"32","author":"C Aouiti","year":"2020","unstructured":"Aouiti C, Assali EA, Cherif F, Zeglaoui A (2020) Fixed-time synchronization of competitive neural networks with proportional delays and impulsive effect. Neural Comput Appl 32(17):13245\u201313254","journal-title":"Neural Comput Appl"},{"key":"11054_CR40","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.ins.2020.03.101","volume":"526","author":"J Xiao","year":"2020","unstructured":"Xiao J, Cao J, Cheng J, Zhong S, Wen S (2020) Novel methods to finite-time Mittag-Leffler synchronization problem of fractional-order quaternion-valued neural networks. Inf Sci 526:221\u2013244","journal-title":"Inf Sci"},{"key":"11054_CR41","volume":"373","author":"H Li","year":"2020","unstructured":"Li H, Zhang L, Hu C, Jiang H, Cao J (2020) Global Mittag-Leffler synchronization of fractional-order delayed quaternion-valued neural networks: direct quaternion approach. Appl Math Comput 373:125020","journal-title":"Appl Math Comput"},{"issue":"12","key":"11054_CR42","doi-asserted-by":"crossref","first-page":"2519","DOI":"10.1109\/TSMC.2018.2836952","volume":"49","author":"J Chen","year":"2018","unstructured":"Chen J, Chen B, Zeng Z (2018) Global asymptotic stability and adaptive ultimate Mittag-Leffler synchronization for a fractional-order complex-valued memristive neural networks with delays. IEEE Trans Syst Man Cybern Syst 49(12):2519\u20132535","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"11","key":"11054_CR43","doi-asserted-by":"crossref","first-page":"2254","DOI":"10.1109\/TSMC.2018.2850157","volume":"49","author":"Y Fan","year":"2018","unstructured":"Fan Y, Huang X, Li Y, Xia J, Chen G (2018) Aperiodically intermittent control for quasi-synchronization of delayed memristive neural networks: an interval matrix and matrix measure combined method. IEEE Trans Syst Man Cybern Syst 49(11):2254\u20132265","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"4","key":"11054_CR44","doi-asserted-by":"crossref","first-page":"2482","DOI":"10.1016\/j.jfranklin.2021.01.023","volume":"358","author":"X Song","year":"2021","unstructured":"Song X, Li X, Song S, Zhang Y, Ning Z (2021) Quasi-synchronization of coupled neural networks with reaction-diffusion terms driven by fractional Brownian motion. J Franklin Inst 358(4):2482\u20132499","journal-title":"J Franklin Inst"},{"key":"11054_CR45","volume":"362","author":"R Li","year":"2019","unstructured":"Li R, Gao X, Cao J (2019) Quasi-state estimation and quasi-synchronization control of quaternion-valued fractional-order fuzzy memristive neural networks: vector ordering approach. Appl Math Comput 362:124572","journal-title":"Appl Math Comput"},{"key":"11054_CR46","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.neunet.2018.04.015","volume":"105","author":"X Yang","year":"2018","unstructured":"Yang X, Li C, Song Q, Chen J, Huang J (2018) Global Mittag-Leffler stability and synchronization analysis of fractional-order quaternion-valued neural networks with linear threshold neurons. Neural Netw 105:88\u2013103","journal-title":"Neural Netw"},{"key":"11054_CR47","volume":"143","author":"H Li","year":"2021","unstructured":"Li H, Kao Y, Hu C, Jiang H, Jiang Y (2021) Robust exponential stability of fractional-order coupled quaternion-valued neural networks with parametric uncertainties and impulsive effects. Chaos Solitons Fractals 143:110598","journal-title":"Chaos Solitons Fractals"},{"key":"11054_CR48","volume-title":"Fractional Differential Equations","author":"I Podlubny","year":"1999","unstructured":"Podlubny I (1999) Fractional Differential Equations. Academic Press, New York"},{"issue":"6","key":"11054_CR49","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1109\/81.503262","volume":"43","author":"Y Nishio","year":"1996","unstructured":"Nishio Y, Ushida A (1996) Quasi-synchronization phenomena in chaotic circuits coupled by one resistor. IEEE Trans Circuits Syst I Fundam Theory Appl 43(6):491\u2013496","journal-title":"IEEE Trans Circuits Syst I Fundam Theory Appl"},{"issue":"1","key":"11054_CR50","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1080\/10652460310001600717","volume":"15","author":"AA Kilbas","year":"2004","unstructured":"Kilbas AA, Saigo M, Saxena RK (2004) Generalized Mittag-Leffler function and generalized fractional calculus operators. Integral Transform Spec Funct 15(1):31\u201349","journal-title":"Integral Transform Spec Funct"},{"key":"11054_CR51","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.neunet.2018.04.007","volume":"104","author":"S Yang","year":"2018","unstructured":"Yang S, Yu J, Hu C, Jiang H (2018) Quasi-projective synchronization of fractional-order complex-valued recurrent neural networks. Neural Netw 104:104\u2013113","journal-title":"Neural Netw"},{"issue":"1","key":"11054_CR52","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.chaos.2007.05.002","volume":"35","author":"JG Lu","year":"2008","unstructured":"Lu JG (2008) Global exponential stability and periodicity of reaction-diffusion delayed recurrent neural networks with Dirichlet boundary conditions. Chaos Solitons Fractals 35(1):116\u2013125","journal-title":"Chaos Solitons Fractals"},{"issue":"4","key":"11054_CR53","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1080\/00207179608921866","volume":"63","author":"L Xie","year":"1996","unstructured":"Xie L (1996) Output feedback $${H}_\\infty $$ control of systems with parameter uncertainty. Int J Control 63(4):741\u2013750","journal-title":"Int J Control"},{"issue":"10","key":"11054_CR54","doi-asserted-by":"crossref","first-page":"4104","DOI":"10.1109\/TNNLS.2019.2952186","volume":"31","author":"X Li","year":"2019","unstructured":"Li X, Zhang W, Fang J, Li H (2019) Event-triggered exponential synchronization for complex-valued memristive neural networks with time-varying delays. IEEE Trans Neural Netw Learn Syst 31(10):4104\u20134116","journal-title":"IEEE Trans Neural Netw Learn Syst"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-11054-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-022-11054-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-11054-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T16:43:29Z","timestamp":1690821809000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-022-11054-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,18]]},"references-count":54,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["11054"],"URL":"https:\/\/doi.org\/10.1007\/s11063-022-11054-7","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,18]]},"assertion":[{"value":"10 October 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 October 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}