{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T15:40:18Z","timestamp":1775144418567,"version":"3.50.1"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2020,9,12]],"date-time":"2020-09-12T00:00:00Z","timestamp":1599868800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,12]],"date-time":"2020-09-12T00:00:00Z","timestamp":1599868800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100014718","name":"Innovative Research Group Project of the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61873085"],"award-info":[{"award-number":["61873085"]}],"id":[{"id":"10.13039\/100014718","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"crossref","award":["BK20171198"],"award-info":[{"award-number":["BK20171198"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1007\/s13042-020-01191-7","type":"journal-article","created":{"date-parts":[[2020,9,12]],"date-time":"2020-09-12T02:02:22Z","timestamp":1599876142000},"page":"611-624","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Adaptive super-twisting sliding mode control for micro gyroscope based on double loop fuzzy neural network structure"],"prefix":"10.1007","volume":"12","author":[{"given":"Juntao","family":"Fei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhilin","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,12]]},"reference":[{"issue":"4","key":"1191_CR1","doi-asserted-by":"publisher","first-page":"2069","DOI":"10.1109\/JSEN.2014.2371456","volume":"15","author":"C He","year":"2015","unstructured":"He C, Zhao Q, Huang Q, Yang Z, Zhang D, Yan G (2015) A MEMS vibratory gyroscope with real-time mode-matching and robust control for the sense mode. IEEE Sens J 15(4):2069\u20132077","journal-title":"IEEE Sens J"},{"issue":"7","key":"1191_CR2","doi-asserted-by":"publisher","first-page":"338","DOI":"10.3390\/mi9070338","volume":"9","author":"Y Fang","year":"2018","unstructured":"Fang Y, Fei J, Yang Y (2018) Adaptive backstepping design of a microgyroscope. Micromachines 9(7):338","journal-title":"Micromachines"},{"issue":"5","key":"1191_CR3","doi-asserted-by":"publisher","first-page":"2369","DOI":"10.1016\/j.jfranklin.2018.01.006","volume":"355","author":"J Fei","year":"2018","unstructured":"Fei J, Lu C (2018) Adaptive fractional order sliding mode controller with neural estimator. J Franklin Inst 355(5):2369\u20132391","journal-title":"J Franklin Inst"},{"issue":"3","key":"1191_CR4","doi-asserted-by":"publisher","first-page":"321","DOI":"10.3390\/s16030321","volume":"16","author":"D Xia","year":"2016","unstructured":"Xia D, Hu Y, Ni P (2016) A digitalized gyroscope system based on a modified adaptive control method. Sensors 16(3):321","journal-title":"Sensors"},{"key":"1191_CR5","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/5246074","author":"J Fei","year":"2018","unstructured":"Fei J, Liang X (2018) Adaptive backstepping fuzzy-neural-network fractional order control of microgyroscope using nonsingular terminal sliding mode controller. Complexity. https:\/\/doi.org\/10.1155\/2018\/5246074","journal-title":"Complexity"},{"key":"1191_CR6","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.isatra.2017.11.009","volume":"72","author":"M Rahmani","year":"2018","unstructured":"Rahmani M (2018) MEMS gyroscope control using a novel compound robust control. ISA Trans 72:37\u201343","journal-title":"ISA Trans"},{"key":"1191_CR7","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/1572303","author":"J Ren","year":"2016","unstructured":"Ren J, Zhang R, Xu B (2016) Adaptive fuzzy sliding mode control of MEMS gyroscope with finite time convergence. J Sens. https:\/\/doi.org\/10.1155\/2016\/1572303","journal-title":"J Sens"},{"issue":"6","key":"1191_CR8","doi-asserted-by":"publisher","first-page":"1599","DOI":"10.1109\/TSMCB.2012.2196039","volume":"42","author":"J Fei","year":"2012","unstructured":"Fei J, Zhou J (2012) Robust adaptive control of MEMS triaxial gyroscope using fuzzy compensator. IEEE Trans Syst Man Cybernetics Part B Cybernetics 42(6):1599\u20131607","journal-title":"IEEE Trans Syst Man Cybernetics Part B Cybernetics"},{"issue":"11","key":"1191_CR9","first-page":"1","volume":"24","author":"M Rahmani","year":"2018","unstructured":"Rahmani M, Komijani H, Ghanbari A, Ettafagh.M M, (2018) Optimal novel super-twisting PID sliding mode control of a MEMS gyroscope based on multi-objective bat algorithm. Microsyst Technol 24(11):1\u201312","journal-title":"Microsyst Technol"},{"issue":"1","key":"1191_CR10","doi-asserted-by":"publisher","first-page":"e0189457","DOI":"10.1371\/journal.pone.0189457","volume":"13","author":"Z Feng","year":"2018","unstructured":"Feng Z, Fei J (2018) Design and analysis of adaptive super-twisting sliding mode control for a microgyroscope. PLoS ONE 13(1):e0189457. https:\/\/doi.org\/10.1371\/journal.pone.0189457","journal-title":"PLoS ONE"},{"issue":"6","key":"1191_CR11","doi-asserted-by":"publisher","first-page":"3677","DOI":"10.1109\/TIE.2016.2523913","volume":"63","author":"A Chalanga","year":"2016","unstructured":"Chalanga A, Kamal S, Fridman LM, Bandyopadhyay B, Moreno JA (2016) Implementation of super-twisting control: super-twisting and higher order sliding-mode observer-based approaches. IEEE Trans Indus Electr 63(6):3677\u20133685","journal-title":"IEEE Trans Indus Electr"},{"issue":"8","key":"1191_CR12","doi-asserted-by":"publisher","first-page":"2013","DOI":"10.1109\/TAC.2013.2251812","volume":"58","author":"V Utkin","year":"2013","unstructured":"Utkin V (2013) On convergence time and disturbance rejection of super-twisting control. IEEE Trans Autom Control 58(8):2013\u20132017","journal-title":"IEEE Trans Autom Control"},{"issue":"11","key":"1191_CR13","doi-asserted-by":"publisher","first-page":"9147","DOI":"10.1109\/TIE.2018.2818672","volume":"65","author":"R Sadeghi","year":"2018","unstructured":"Sadeghi R, Madani SM, Ataei M, Kashkooli MRA, Ademi S (2018) Super-twisting sliding mode direct power control of brushless doubly fed induction generator. IEEE Trans Industr Electron 65(11):9147\u20139156","journal-title":"IEEE Trans Industr Electron"},{"issue":"1","key":"1191_CR14","first-page":"145","volume":"28","author":"Z Zhao","year":"2017","unstructured":"Zhao Z, Gu H, Zhang J, Ding G (2017) Terminal sliding mode control based on super-twisting algorithm. J Syst Eng Electr 28(1):145\u2013150","journal-title":"J Syst Eng Electr"},{"issue":"5","key":"1191_CR15","doi-asserted-by":"publisher","first-page":"3776","DOI":"10.1109\/TIE.2017.2652341","volume":"64","author":"PR Kumar","year":"2017","unstructured":"Kumar PR, Behera AK, Bandyopadhyay B (2017) Robust finite-time tracking of stewart platform: a super-twisting like observer-based forward kinematics solution. IEEE Trans Industr Electron 64(5):3776\u20133785","journal-title":"IEEE Trans Industr Electron"},{"issue":"12","key":"1191_CR16","doi-asserted-by":"publisher","first-page":"4301","DOI":"10.1109\/TAC.2018.2812789","volume":"63","author":"R Seeber","year":"2018","unstructured":"Seeber R, Horn M, Fridman L (2018) A novel method to estimate the reaching time of the super-twisting algorithm. IEEE Trans Autom Control 63(12):4301\u20134308","journal-title":"IEEE Trans Autom Control"},{"issue":"6","key":"1191_CR17","doi-asserted-by":"publisher","first-page":"2999","DOI":"10.1109\/TAC.2016.2609602","volume":"62","author":"PVNM Vidal","year":"2017","unstructured":"Vidal PVNM, Nunes EVL, Liu H (2017) Output-feedback multivariable global variable gain super-twisting algorithm. IEEE Trans Autom Control 62(6):2999\u20133005","journal-title":"IEEE Trans Autom Control"},{"issue":"8","key":"1191_CR18","doi-asserted-by":"publisher","first-page":"1134","DOI":"10.1049\/iet-cta.2016.0862","volume":"11","author":"J Li","year":"2016","unstructured":"Li J, Zhang Q, Yan XG, Spurgeon SK (2016) Integral sliding mode control for Markovian jump T-S fuzzy descriptor systems based on the super-twisting algorithm. IET Control Theory Appl 11(8):1134\u20131143","journal-title":"IET Control Theory Appl"},{"issue":"2","key":"1191_CR19","doi-asserted-by":"publisher","first-page":"538","DOI":"10.1109\/TIE.2012.2188256","volume":"60","author":"C Evangelista","year":"2013","unstructured":"Evangelista C, Puleston P, Valenciaga F, Fridman LM (2013) Lyapunov-designed super-twisting sliding mode control for wind energy conversion optimization. IEEE Trans Industr Electron 60(2):538\u2013545","journal-title":"IEEE Trans Industr Electron"},{"key":"1191_CR20","doi-asserted-by":"publisher","first-page":"49626","DOI":"10.1109\/ACCESS.2018.2868988","volume":"6","author":"Y Wang","year":"2018","unstructured":"Wang Y, Yan F, Chen J, Chen B (2018) Continuous Nonsingular Fast Terminal Sliding Mode Control of Cable-Driven Manipulators With Super-Twisting Algorithm[J]. IEEE Access 6:49626\u201349636","journal-title":"IEEE Access"},{"key":"1191_CR21","doi-asserted-by":"crossref","unstructured":"Fei, J. Feng Z (2019) Adaptive fuzzy super-twisting sliding mode control for microgyroscope, complexity. vol. 2019, Article ID 6942642, pp 13","DOI":"10.1155\/2019\/6942642"},{"issue":"1","key":"1191_CR22","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1109\/TIA.2017.2763584","volume":"54","author":"M El-Sousy","year":"2018","unstructured":"El-Sousy M, Abuhasel A (2018) Adaptive nonlinear disturbance observer using double loop self-organizing recurrent wavelet-neural-network for two-axis motion control system. IEEE Trans Ind Appl 54(1):764\u2013786","journal-title":"IEEE Trans Ind Appl"},{"issue":"10","key":"1191_CR23","doi-asserted-by":"publisher","first-page":"2836","DOI":"10.1109\/TCYB.2017.2751005","volume":"48","author":"S Sivakumar","year":"2018","unstructured":"Sivakumar S, Sivakumar S (2018) Marginally stable triangular recurrent neural network architecture for time series prediction. IEEE Trans Cybern 48(10):2836\u20132850","journal-title":"IEEE Trans Cybern"},{"issue":"5","key":"1191_CR24","doi-asserted-by":"publisher","first-page":"1175","DOI":"10.1109\/TFUZZ.2016.2599855","volume":"25","author":"M Pratama","year":"2017","unstructured":"Pratama M, Lu J, Lughofer E, Zhang G, Meng JE (2017) An incremental learning of concept drifts using evolving type-2 recurrent fuzzy neural networks. IEEE Trans Fuzzy Syst 25(5):1175\u20131192","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"12","key":"1191_CR25","doi-asserted-by":"publisher","first-page":"7282","DOI":"10.1109\/TPEL.2015.2396891","volume":"30","author":"RJ Wai","year":"2015","unstructured":"Wai RJ, Chen MW, Liu YK (2015) Design of adaptive control and fuzzy neural network control for single-stage boost inverter. IEEE Trans Power Electron 30(12):7282\u20137298","journal-title":"IEEE Trans Power Electron"},{"key":"1191_CR26","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2019.29580512019","author":"S Hou","year":"2019","unstructured":"Hou S, Fei J (2019) A self-organizing global sliding mode control and its application to active power filter. IEEE Trans Power Electron. https:\/\/doi.org\/10.1109\/TPEL.2019.29580512019","journal-title":"IEEE Trans Power Electron"},{"issue":"3","key":"1191_CR27","doi-asserted-by":"publisher","first-page":"3069","DOI":"10.1109\/TPEL.2019.2925154","volume":"35","author":"J Fei","year":"2020","unstructured":"Fei J, Chu Y (2020) Double hidden layer recurrent neural adaptive global sliding mode control of active power filter. IEEE Trans Power Electr 35(3):3069\u20133084","journal-title":"IEEE Trans Power Electr"},{"issue":"9","key":"1191_CR28","doi-asserted-by":"publisher","first-page":"9906","DOI":"10.1109\/TPEL.2020.2974470","volume":"35","author":"J Fei","year":"2020","unstructured":"Fei J, Chen Y (2020) Dynamic terminal sliding mode control for single-phase active power filter using double hidden layer recurrent neural network. IEEE Trans Power Electron 35(9):9906\u20139924. https:\/\/doi.org\/10.1109\/TPEL.2020.2974470","journal-title":"IEEE Trans Power Electron"},{"key":"1191_CR29","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2019.2953223","author":"J Fei","year":"2019","unstructured":"Fei J, Wang H (2019) Experimental investigation of recurrent neural network fractional-order sliding mode control for active power filter. IEEE Trans Circ Syst II-Exp Briefs. https:\/\/doi.org\/10.1109\/TCSII.2019.2953223","journal-title":"IEEE Trans Circ Syst II-Exp Briefs"},{"issue":"5","key":"1191_CR30","doi-asserted-by":"publisher","first-page":"1533","DOI":"10.1007\/s40815-019-00648-4","volume":"21","author":"Y Fang","year":"2019","unstructured":"Fang Y, Fei J, Cao D (2019) Adaptive fuzzy-neural fractional-order current control of active power filter with finite-time sliding controller. Intern J Fuzzy Syst 21(5):1533\u20131543","journal-title":"Intern J Fuzzy Syst"},{"key":"1191_CR31","doi-asserted-by":"publisher","first-page":"21202","DOI":"10.1109\/ACCESS.2018.2825678","volume":"6","author":"Y Zhu","year":"2018","unstructured":"Zhu Y, Fei J (2018) Disturbance observer based fuzzy sliding mode control of pv grid connected inverter. IEEE Access 6:21202\u201321211","journal-title":"IEEE Access"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-020-01191-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-020-01191-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-020-01191-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,12]],"date-time":"2021-09-12T00:35:29Z","timestamp":1631406929000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-020-01191-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,12]]},"references-count":31,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,3]]}},"alternative-id":["1191"],"URL":"https:\/\/doi.org\/10.1007\/s13042-020-01191-7","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,12]]},"assertion":[{"value":"24 December 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 August 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 September 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}