{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T04:57:33Z","timestamp":1784609853750,"version":"3.55.0"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T00:00:00Z","timestamp":1642377600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T00:00:00Z","timestamp":1642377600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"crossref","award":["Grant DP190101557"],"award-info":[{"award-number":["Grant DP190101557"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1007\/s00521-021-06722-z","type":"journal-article","created":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T11:02:41Z","timestamp":1642417361000},"page":"5267-5282","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Extreme learning machine-based field-oriented feedback linearization speed control of permanent magnetic synchronous motors"],"prefix":"10.1007","volume":"34","author":[{"given":"Yusai","family":"Zheng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenwei","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Song","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhihong","family":"Man","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raymond","family":"Chuei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,17]]},"reference":[{"issue":"6","key":"6722_CR1","doi-asserted-by":"publisher","first-page":"3867","DOI":"10.1109\/TIE.2015.2497302","volume":"63","author":"T Tarczewski","year":"2016","unstructured":"Tarczewski T, Grzesiak LM (2016) Constrained state feedback speed control of PMSM based on model predictive approach. IEEE Trans Industr Electron 63(6):3867\u20133875. https:\/\/doi.org\/10.1109\/TIE.2015.2497302","journal-title":"IEEE Trans Industr Electron"},{"issue":"7","key":"6722_CR2","doi-asserted-by":"publisher","first-page":"5414","DOI":"10.1109\/TIE.2017.2784348","volume":"65","author":"F Aghili","year":"2018","unstructured":"Aghili F (2018) Optimal feedback linearization control of interior PM synchronous motors subject to time-varying operation conditions minimizing power loss. IEEE Trans Industr Electron 65(7):5414\u20135421. https:\/\/doi.org\/10.1109\/TIE.2017.2784348","journal-title":"IEEE Trans Industr Electron"},{"issue":"3","key":"6722_CR3","doi-asserted-by":"publisher","first-page":"2913","DOI":"10.1109\/TIA.2018.2805300","volume":"54","author":"T Tarczewski","year":"2018","unstructured":"Tarczewski T, Grzesiak LM (2018) An application of novel nature-inspired optimization algorithms to auto-tuning state feedback speed controller for PMSM. IEEE Trans Ind Appl 54(3):2913\u20132925. https:\/\/doi.org\/10.1109\/TIA.2018.2805300","journal-title":"IEEE Trans Ind Appl"},{"issue":"6","key":"6722_CR4","doi-asserted-by":"publisher","first-page":"6082","DOI":"10.1109\/TPEL.2019.2949921","volume":"35","author":"A Apte","year":"2020","unstructured":"Apte A, Joshi VA, Mehta H, Walambe R (2020) Disturbance-observer-based sensorless control of PMSM using integral state feedback controller. IEEE Trans Power Electron 35(6):6082\u20136090. https:\/\/doi.org\/10.1109\/TPEL.2019.2949921","journal-title":"IEEE Trans Power Electron"},{"key":"6722_CR5","doi-asserted-by":"publisher","first-page":"29594","DOI":"10.1109\/ACCESS.2018.2840521","volume":"6","author":"X Liu","year":"2018","unstructured":"Liu X, Yu H, Yu J, Zhao L (2018) Combined speed and current terminal sliding mode control with nonlinear disturbance observer for PMSM drive. IEEE Access 6:29594\u201329601. https:\/\/doi.org\/10.1109\/ACCESS.2018.2840521","journal-title":"IEEE Access"},{"key":"6722_CR6","doi-asserted-by":"crossref","unstructured":"Perruquetti W, Barbot JP (2002) Sliding mode control in engineering. New York","DOI":"10.1201\/9780203910856"},{"issue":"3","key":"6722_CR7","doi-asserted-by":"publisher","first-page":"900","DOI":"10.1109\/TIE.2008.2011621","volume":"56","author":"J Han","year":"2009","unstructured":"Han J (2009) From PID to active disturbance rejection control. IEEE Trans Industr Electron 56(3):900\u2013906. https:\/\/doi.org\/10.1109\/TIE.2008.2011621","journal-title":"IEEE Trans Industr Electron"},{"key":"6722_CR8","doi-asserted-by":"publisher","unstructured":"Liu J (2013) Radial Basis Function (RBF) Neural Network Control for Mechanical Systems. doi:https:\/\/doi.org\/10.1007\/978-3-642-34816-7","DOI":"10.1007\/978-3-642-34816-7"},{"issue":"5","key":"6722_CR9","doi-asserted-by":"publisher","first-page":"1828","DOI":"10.1109\/TCST.2013.2289307","volume":"22","author":"G Rubio-Astorga","year":"2014","unstructured":"Rubio-Astorga G, S\u00e1nchez-Torres JD, Ca\u00f1edo J, Loukianov AG (2014) High-order sliding mode block control of single-phase induction motor. IEEE Trans Control Syst Technol 22(5):1828\u20131836. https:\/\/doi.org\/10.1109\/TCST.2013.2289307","journal-title":"IEEE Trans Control Syst Technol"},{"key":"6722_CR10","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.conengprac.2016.05.001","volume":"53","author":"X Huo","year":"2016","unstructured":"Huo X, Tong X-G, Liu K-Z, Ma K-M (2016) A compound control method for the rejection of spatially periodic and uncertain disturbances of rotary machines and its implementation under uniform time sampling. Control Eng Pract 53:68\u201378. https:\/\/doi.org\/10.1016\/j.conengprac.2016.05.001","journal-title":"Control Eng Pract"},{"issue":"4","key":"6722_CR11","doi-asserted-by":"publisher","first-page":"3273","DOI":"10.1109\/TIE.2016.2583412","volume":"64","author":"J Yang","year":"2017","unstructured":"Yang J, Chen W, Li S, Guo L, Yan Y (2017) Disturbance\/uncertainty estimation and attenuation techniques in PMSM drives\u2014a survey. IEEE Transactions Ind Electron 64(4):3273\u20133285. https:\/\/doi.org\/10.1109\/TIE.2016.2583412","journal-title":"IEEE Transactions Ind Electron"},{"issue":"2","key":"6722_CR12","doi-asserted-by":"publisher","first-page":"769","DOI":"10.1109\/TMECH.2018.2799326","volume":"23","author":"Y Yan","year":"2018","unstructured":"Yan Y, Yang J, Sun Z, Zhang C, Li S, Yu H (2018) Robust speed regulation for PMSM servo system with multiple sources of disturbances via an augmented disturbance observer. IEEE\/ASME Trans Mechatron 23(2):769\u2013780. https:\/\/doi.org\/10.1109\/TMECH.2018.2799326","journal-title":"IEEE\/ASME Trans Mechatron"},{"issue":"4","key":"6722_CR13","doi-asserted-by":"publisher","first-page":"809","DOI":"10.1016\/j.camwa.2010.12.029","volume":"61","author":"GA Anastassiou","year":"2011","unstructured":"Anastassiou GA (2011) Multivariate hyperbolic tangent neural network approximation. Comput Math Appl 61(4):809\u2013821. https:\/\/doi.org\/10.1016\/j.camwa.2010.12.029","journal-title":"Comput Math Appl"},{"issue":"2","key":"6722_CR14","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1016\/j.compchemeng.2004.09.023","volume":"29","author":"BM \u00c5kesson","year":"2005","unstructured":"\u00c5kesson BM, Toivonen HT, Waller JB, Nystr\u00f6m RH (2005) Neural network approximation of a nonlinear model predictive controller applied to a pH neutralization process. Comput Chem Eng 29(2):323\u2013335. https:\/\/doi.org\/10.1016\/j.compchemeng.2004.09.023","journal-title":"Comput Chem Eng"},{"issue":"4","key":"6722_CR15","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1016\/j.neunet.2011.01.003","volume":"24","author":"GA Anastassiou","year":"2011","unstructured":"Anastassiou GA (2011) Multivariate sigmoidal neural network approximation. Neural Netw 24(4):378\u2013386. https:\/\/doi.org\/10.1016\/j.neunet.2011.01.003","journal-title":"Neural Netw"},{"issue":"3","key":"6722_CR16","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1016\/j.compchemeng.2010.06.005","volume":"35","author":"V Dua","year":"2011","unstructured":"Dua V (2011) An artificial neural network approximation based decomposition approach for parameter estimation of system of ordinary differential equations. Comput Chem Eng 35(3):545\u2013553. https:\/\/doi.org\/10.1016\/j.compchemeng.2010.06.005","journal-title":"Comput Chem Eng"},{"issue":"6","key":"6722_CR17","doi-asserted-by":"publisher","first-page":"1655","DOI":"10.1016\/j.camwa.2012.01.019","volume":"64","author":"GA Anastassiou","year":"2012","unstructured":"Anastassiou GA (2012) Fractional neural network approximation. Comput Math Appl 64(6):1655\u20131676. https:\/\/doi.org\/10.1016\/j.camwa.2012.01.019","journal-title":"Comput Math Appl"},{"key":"6722_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04446-9","author":"Y Hu","year":"2019","unstructured":"Hu Y, Wang H, Cao Z, Zheng J, Ping Z, Chen L, Jin X (2019) Extreme-learning-machine-based FNTSM control strategy for electronic throttle. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-019-04446-9","journal-title":"Neural Comput Appl"},{"issue":"7","key":"6722_CR19","doi-asserted-by":"publisher","first-page":"1575","DOI":"10.1007\/s00521-014-1819-2","volume":"26","author":"H Wang","year":"2015","unstructured":"Wang H, Xu Z, Do M, Zheng J, Cao Z, Xie L (2015) Neural-network-based robust control for steer-by-wire systems with uncertain dynamics. Neural Comput Appl 26(7):1575\u20131586. https:\/\/doi.org\/10.1007\/s00521-014-1819-2","journal-title":"Neural Comput Appl"},{"key":"6722_CR20","doi-asserted-by":"publisher","DOI":"10.1109\/ANZCC.2018.8606543","author":"R Chuei","year":"2018","unstructured":"Chuei R, Cao Z, Man Z (2018) Neural Network Super-twisting based Repetitive Control for a Brushless DC Servo Motor with Parameter Uncertainty. Friction, and Backlash. https:\/\/doi.org\/10.1109\/ANZCC.2018.8606543","journal-title":"Friction, and Backlash"},{"key":"6722_CR21","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"G-B Huang","year":"2006","unstructured":"Huang G-B, Zhu Q-Y, Siew C (2006) Extreme Learning Machine: Theory and Applications. Neurocomputing 70:489\u2013501. https:\/\/doi.org\/10.1016\/j.neucom.2005.12.126","journal-title":"Neurocomputing"},{"issue":"3","key":"6722_CR22","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1007\/s00521-011-0805-1","volume":"22","author":"H-J Rong","year":"2013","unstructured":"Rong H-J, Zhao G-S (2013) Direct adaptive neural control of nonlinear systems with extreme learning machine. Neural Comput Appl 22(3):577\u2013586. https:\/\/doi.org\/10.1007\/s00521-011-0805-1","journal-title":"Neural Comput Appl"},{"issue":"5","key":"6722_CR23","doi-asserted-by":"publisher","first-page":"1106","DOI":"10.1109\/T-CYB.2015.2423635","volume":"46","author":"N Wang","year":"2016","unstructured":"Wang N, Sun J, Er MJ, Liu Y (2016) A novel extreme learning control framework of unmanned surface vehicles. IEEE Transactions on Cybernetics 46(5):1106\u20131117. https:\/\/doi.org\/10.1109\/T-CYB.2015.2423635","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"8","key":"6722_CR24","doi-asserted-by":"publisher","first-page":"2398","DOI":"10.1109\/TSMC.2017.2676022","volume":"47","author":"C Yang","year":"2017","unstructured":"Yang C, Huang K, Cheng H, Li Y, Su C (2017) Haptic identification by ELM-controlled uncertain manipulator. IEEE Trans Syst Man Cybern Syst 47(8):2398\u20132409. https:\/\/doi.org\/10.1109\/TSMC.2017.2676022","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"18","key":"6722_CR25","doi-asserted-by":"publisher","first-page":"14483","DOI":"10.1007\/s00521-020-04965-w","volume":"32","author":"R Chuei","year":"2020","unstructured":"Chuei R, Cao Z (2020) Extreme learning machine-based super-twisting repetitive control for aperiodic disturbance, parameter uncertainty, friction, and backlash compensations of a brushless DC servo motor. Neural Comput Appl 32(18):14483\u201314495. https:\/\/doi.org\/10.1007\/s00521-020-04965-w","journal-title":"Neural Comput Appl"},{"issue":"4","key":"6722_CR26","doi-asserted-by":"publisher","first-page":"3946","DOI":"10.1109\/TIA.2019.2908337","volume":"55","author":"CM Verrelli","year":"2019","unstructured":"Verrelli CM, Bifaretti S, Carfagna E, Lidozzi A, Solero L, Crescimbini F, Benedetto MD (2019) Speed sensor fault tolerant PMSM machines: from position-sensorless to sensorless control. IEEE Trans Ind Appl 55(4):3946\u20133954. https:\/\/doi.org\/10.1109\/TIA.2019.2908337","journal-title":"IEEE Trans Ind Appl"},{"key":"6722_CR27","volume-title":"Modern power electronics and AC drives","author":"B Bose","year":"2002","unstructured":"Bose B (2002) Modern power electronics and AC drives. Prentice Hall, Upper Saddle River, N.J."},{"key":"6722_CR28","doi-asserted-by":"crossref","unstructured":"Ortega R, Monshizadeh N, Monshizadeh P, Bazylev D, Pyrkin A (2018) Permanent magnet synchronous motors are globally asymptotically stabilizable with PI current control. Automatica","DOI":"10.1016\/j.automatica.2018.09.031"},{"key":"6722_CR29","unstructured":"Na J, Yang J, Wang S, Gao G, Yang C (2019) Unknown Dynamics Estimator-Based Output-Feedback Control for Nonlinear Pure-Feedback Systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems PP (99):1\u201312"},{"issue":"4","key":"6722_CR30","doi-asserted-by":"publisher","first-page":"868","DOI":"10.1109\/TCST.2010.2052103","volume":"19","author":"VM Hernandez-Guzman","year":"2011","unstructured":"Hernandez-Guzman VM, Silva-Ortigoza R (2011) PI control plus electric current loops for PM synchronous motors. IEEE Trans Control Syst Technol 19(4):868\u2013873. https:\/\/doi.org\/10.1109\/TCST.2010.2052103","journal-title":"IEEE Trans Control Syst Technol"},{"key":"6722_CR31","doi-asserted-by":"crossref","unstructured":"Mendoza-Mondrag\u00f3n F, Hern\u00e1ndez-Guzm\u00e1n V, CarrilloSerrano RV (2015) Velocity Regulation in Pmsms Using Standard Field Oriented Control Plus Adaptation. Asian Journal of Control","DOI":"10.1002\/asjc.1113"},{"issue":"11","key":"6722_CR32","doi-asserted-by":"publisher","first-page":"11046","DOI":"10.1109\/TPEL.2019.2897746","volume":"34","author":"W Tu","year":"2019","unstructured":"Tu W, Luo G, Chen Z, Cui L, Kennel R (2019) Predictive cascaded speed and current control for PMSM drives with multi-timescale optimization. IEEE Trans Power Electron 34(11):11046\u201311061. https:\/\/doi.org\/10.1109\/TPEL.2019.2897746","journal-title":"IEEE Trans Power Electron"},{"issue":"9","key":"6722_CR33","doi-asserted-by":"publisher","first-page":"5276","DOI":"10.1109\/TII.2019.2897074","volume":"15","author":"W Tu","year":"2019","unstructured":"Tu W, Luo G, Chen Z, Liu C, Cui L (2019) FPGA implementation of predictive cascaded speed and current control of PMSM drives with two-time-scale optimization. IEEE Trans Ind Inf 15(9):5276\u20135288. https:\/\/doi.org\/10.1109\/TII.2019.2897074","journal-title":"IEEE Trans Ind Inf"},{"key":"6722_CR34","doi-asserted-by":"publisher","unstructured":"Zhiqiang G (2003) Scaling and bandwidth-parameterization based controller tuning. In: Proceedings of the 2003 American Control Conference, 4\u20136 June 2003 2003. pp 4989\u20134996. https:\/\/doi.org\/10.1109\/ACC.2003.1242516","DOI":"10.1109\/ACC.2003.1242516"},{"key":"6722_CR35","unstructured":"Khalil KH (2002) Nonlinear Systems Third Edition. Prentice Hall, Upper Saddle River, N.J."},{"issue":"1","key":"6722_CR36","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1109\/TVT.2017.2752778","volume":"67","author":"Y Jiang","year":"2018","unstructured":"Jiang Y, Xu W, Mu C, Liu Y (2018) Improved deadbeat predictive current control combined sliding mode strategy for PMSM drive system. IEEE Trans Veh Technol 67(1):251\u2013263. https:\/\/doi.org\/10.1109\/TVT.2017.2752778","journal-title":"IEEE Trans Veh Technol"},{"key":"6722_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2020.108988","volume":"117","author":"C Verrelli","year":"2020","unstructured":"Verrelli C, Tomei P (2020) Global stability for the inner and outer PI control actions in non-salient-pole PMSMs. Automatica 117:108988. https:\/\/doi.org\/10.1016\/j.automatica.2020.108988","journal-title":"Automatica"},{"issue":"1","key":"6722_CR38","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1109\/TIE.2020.3005074","volume":"68","author":"C Dai","year":"2021","unstructured":"Dai C, Guo T, Yang J, Li S (2021) A disturbance observer-based current-constrained controller for speed regulation of PMSM systems subject to unmatched disturbances. IEEE Trans Ind Electron 68(1):767\u2013775. https:\/\/doi.org\/10.1109\/TIE.2020.3005074","journal-title":"IEEE Trans Ind Electron"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06722-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-021-06722-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06722-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T05:22:37Z","timestamp":1647321757000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-021-06722-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,17]]},"references-count":38,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2022,4]]}},"alternative-id":["6722"],"URL":"https:\/\/doi.org\/10.1007\/s00521-021-06722-z","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,17]]},"assertion":[{"value":"15 December 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 June 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 January 2022","order":3,"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 conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}