{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T14:22:13Z","timestamp":1762352533250,"version":"3.37.3"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2016,7,7]],"date-time":"2016-07-07T00:00:00Z","timestamp":1467849600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China (CN)","doi-asserted-by":"publisher","award":["No. 61374100"],"award-info":[{"award-number":["No. 61374100"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province (CN)","doi-asserted-by":"publisher","award":["BK20131136"],"award-info":[{"award-number":["BK20131136"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1007\/s13042-016-0564-5","type":"journal-article","created":{"date-parts":[[2016,7,7]],"date-time":"2016-07-07T15:17:09Z","timestamp":1467904629000},"page":"1863-1873","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Backstepping control of MEMS gyroscope using adaptive neural observer"],"prefix":"10.1007","volume":"8","author":[{"given":"Cheng","family":"Lu","sequence":"first","affiliation":[]},{"given":"Juntao","family":"Fei","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,7,7]]},"reference":[{"issue":"8","key":"564_CR1","doi-asserted-by":"crossref","first-page":"1008","DOI":"10.1177\/0142331212472224","volume":"35","author":"W Juan","year":"2013","unstructured":"Juan W, Fei J (2013) Adaptive fuzzy approach for non-linearity compensation in MEMS gyroscope. Trans Inst Meas Control 35(8):1008\u20131015","journal-title":"Trans Inst Meas Control"},{"issue":"6","key":"564_CR2","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1016\/j.isatra.2013.05.004","volume":"52","author":"M Fazlyab","year":"2013","unstructured":"Fazlyab M, Pedram MZ (2013) Parameter estimation and interval type-2 fuzzy sliding mode control of a z-axis MEMS gyroscope. ISA Trans 52(6):900\u2013911","journal-title":"ISA Trans"},{"issue":"1\u20132","key":"564_CR3","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1007\/s11071-014-1300-x","volume":"77","author":"S Wang","year":"2014","unstructured":"Wang S, Fei J (2014) Robust adaptive sliding mode control of MEMS gyroscope using T\u2013S fuzzy model. Nonlinear Dyn 77(1\u20132):361\u2013371","journal-title":"Nonlinear Dyn"},{"key":"564_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.04.019","author":"RAR Ashfaq","year":"2016","unstructured":"Ashfaq RAR, Wang XZ, Huang JZX, Abbas H, He YL (2016) Fuzziness based semi-supervised learning approach for intrusion detection system. Inf Sci. doi:\n                        10.1016\/j.ins.2016.04.019\n                        \n                     (in press)","journal-title":"Inf Sci"},{"issue":"8","key":"564_CR5","first-page":"1","volume":"26","author":"S Gao","year":"2015","unstructured":"Gao S, Ning B, Dong H (2015) Adaptive neural control with intercepted adaptation for time-delay saturated nonlinear systems. Neural Comput Appl 26(8):1\u20139","journal-title":"Neural Comput Appl"},{"issue":"3","key":"564_CR6","doi-asserted-by":"crossref","first-page":"1185","DOI":"10.3233\/IFS-151729","volume":"29","author":"XZ Wang","year":"2015","unstructured":"Wang XZ, Ashfaq RAR, Fu AM (2015) Fuzziness based sample categorization for classifier performance improvement. J Intell Fuzzy Syst 29(3):1185\u20131196","journal-title":"J Intell Fuzzy Syst"},{"issue":"5","key":"564_CR7","doi-asserted-by":"crossref","first-page":"2329","DOI":"10.3233\/IFS-141516","volume":"28","author":"XZ Wang","year":"2015","unstructured":"Wang XZ (2015) Learning from big data with uncertainty\u2014editorial. J Intell Fuzzy Syst 28(5):2329\u20132330","journal-title":"J Intell Fuzzy Syst"},{"issue":"1","key":"564_CR8","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.neucom.2015.02.012","volume":"159","author":"S Gao","year":"2015","unstructured":"Gao S, Dong H, Ning B, Chen L (2015) Neural adaptive control for uncertain nonlinear system with input saturation: state transformation based output feedback. Neurocomputing 159(1):117\u2013125","journal-title":"Neurocomputing"},{"key":"564_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.01.037","author":"YL He","year":"2016","unstructured":"He YL, Wang XZ, Huang JZX (2016) Fuzzy nonlinear regression analysis using a random weight network. Inf Sci. doi:\n                        10.1016\/j.ins.2016.01.037\n                        \n                     (in press)","journal-title":"Inf Sci"},{"issue":"3","key":"564_CR10","first-page":"1","volume":"82","author":"S Gao","year":"2015","unstructured":"Gao S, Dong H, Ning B, Sun X (2015) Neural adaptive control for uncertain MIMO systems with constrained input via intercepted adaptation and single learning parameter approach. Nonlinear Dyn 82(3):1\u201318","journal-title":"Nonlinear Dyn"},{"issue":"1","key":"564_CR11","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/MNET.2016.7389832","volume":"30","author":"LZ Cui","year":"2016","unstructured":"Cui LZ, Yu FR, Yan Q (2016) When big data meets software-defined networking: SDN for big data and big data for SDN. IEEE Netw 30(1):58\u201365","journal-title":"IEEE Netw"},{"issue":"1","key":"564_CR12","first-page":"170","volume":"24","author":"S Gao","year":"2015","unstructured":"Gao S, Dong H, Sun X, Ning B (2015) Neural adaptive chaotic control with constrained input using state and output feedback. Chin Phys B 24(1):170\u2013176","journal-title":"Chin Phys B"},{"issue":"4","key":"564_CR13","doi-asserted-by":"crossref","first-page":"1060","DOI":"10.1109\/TRO.2013.2257581","volume":"29","author":"Laurent","year":"2013","unstructured":"Laurent, Matthieu F, Antoine F (2013) Adaptive controller and observer for a magnetic microrobot. IEEE Trans Robot 29(4):1060\u20131067","journal-title":"IEEE Trans Robot"},{"issue":"6","key":"564_CR14","doi-asserted-by":"crossref","first-page":"2290","DOI":"10.1109\/TCST.2013.2237909","volume":"21","author":"K Wonhee","year":"2013","unstructured":"Wonhee K, Donghoon S, Daehee W (2013) Disturbance-observer-based position tracking controller in the presence of biased sinusoidal disturbance for electrohydraulic actuators. IEEE Trans Control Syst Technol 21(6):2290\u20132298","journal-title":"IEEE Trans Control Syst Technol"},{"issue":"9","key":"564_CR15","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1049\/iet-cta.2013.0404","volume":"8","author":"Jiang","year":"2014","unstructured":"Jiang, Xu D, Shi P, Lim CC (2014) Adaptive neural observer-based backstepping fault tolerant control for near space vehicle under control effector damage. IET Control Theory Appl 8(9):658\u2013666","journal-title":"IET Control Theory Appl"},{"issue":"4","key":"564_CR16","doi-asserted-by":"crossref","first-page":"1213","DOI":"10.1109\/TSMCB.2012.2226577","volume":"43","author":"M Chen","year":"2013","unstructured":"Chen M, Ge S (2013) Direct adaptive neural control for a class of uncertain nonaffine nonlinear systems based on disturbance observer. IEEE Trans Cybern 43(4):1213\u20131225","journal-title":"IEEE Trans Cybern"},{"issue":"1\u20132","key":"564_CR17","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1007\/s11071-013-0773-3","volume":"73","author":"Y Li","year":"2013","unstructured":"Li Y, Tong S, Li T (2013) Adaptive fuzzy backstepping control of static var compensator based on state observer. Nonlinear Dyn 73(1\u20132):133\u2013142","journal-title":"Nonlinear Dyn"},{"issue":"5","key":"564_CR18","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.1109\/72.950139","volume":"12","author":"J Choi","year":"2001","unstructured":"Choi J, Farrell J (2001) Adaptive observer backstepping control using neural networks. IEEE Trans Neural Netw 12(5):1103\u20131112","journal-title":"IEEE Trans Neural Netw"},{"issue":"11","key":"564_CR19","doi-asserted-by":"crossref","first-page":"6285","DOI":"10.1109\/TIE.2014.2304912","volume":"61","author":"Y Yao","year":"2014","unstructured":"Yao Y, Jiao Z, Ma D (2014) Extended-state-observer-based output feedback nonlinear robust control of hydraulic systems with backstepping. IEEE Trans Industr Electron 61(11):6285\u20136293","journal-title":"IEEE Trans Industr Electron"},{"issue":"4","key":"564_CR20","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1109\/TFUZZ.2012.2183604","volume":"20","author":"S Tong","year":"2012","unstructured":"Tong S, Li Y, Shi P (2012) Observer-based adaptive fuzzy backstepping output feedback control of uncertain MIMO pure-feedback nonlinear systems. IEEE Trans Fuzzy Syst 20(4):771\u2013785","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"SI","key":"564_CR21","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/j.neucom.2013.12.011","volume":"135","author":"A Boulkroune","year":"2014","unstructured":"Boulkroune A, Bounar N, M\u2019Saad, Farza M (2014) Indirect adaptive fuzzy control scheme based on observer for nonlinear systems: a novel SPR-filter approach. Neurocomputing 135(SI):378\u2013387","journal-title":"Neurocomputing"},{"issue":"1","key":"564_CR22","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1109\/TNNLS.2012.2223824","volume":"24","author":"Q Zhou","year":"2013","unstructured":"Zhou Q, Shi P, Xu S, Li H (2013) Observer-based adaptive neural network control for nonlinear stochastic systems with time delay. IEEE Trans Neural Net Learn Syst 24(1):71\u201380","journal-title":"IEEE Trans Neural Net Learn Syst"},{"issue":"7","key":"564_CR23","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1016\/j.conengprac.2013.02.018","volume":"21","author":"Ting","year":"2013","unstructured":"Ting, Chang Y (2013) Observer-based backstepping control of linear stepping motor. Control Eng Pract 21(7):730\u2013739","journal-title":"Control Eng Pract"},{"issue":"S1","key":"564_CR24","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1007\/s00521-013-1495-7","volume":"23","author":"Y Xu","year":"2013","unstructured":"Xu Y, Tong S, Li YM (2013) Observer-based fuzzy adaptive control of nonlinear systems with actuator faults and unmodeled dynamics. Neural Comput Appl 23(S1):391\u2013405","journal-title":"Neural Comput Appl"},{"issue":"2","key":"564_CR25","first-page":"223","volume":"6","author":"S Yoo","year":"2008","unstructured":"Yoo S, Park J, Choi Y (2008) Output feedback dynamic surface control of flexible joint robots. Int J Control Autom Syst 6(2):223\u2013233","journal-title":"Int J Control Autom Syst"},{"issue":"3","key":"564_CR26","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1109\/TNNLS.2012.2225845","volume":"24","author":"J Na","year":"2013","unstructured":"Na J, Ren X, Zheng D (2013) Adaptive control for nonlinear pure-feedback systems with high-order sliding mode observer. IEEE Trans Neural Netw Learn Syst 24(3):370\u2013382","journal-title":"IEEE Trans Neural Netw Learn Syst"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-016-0564-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0564-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0564-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0564-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,10,25]],"date-time":"2017-10-25T03:09:29Z","timestamp":1508900969000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-016-0564-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7,7]]},"references-count":26,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["564"],"URL":"https:\/\/doi.org\/10.1007\/s13042-016-0564-5","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2016,7,7]]}}}