{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:51:22Z","timestamp":1740160282303,"version":"3.37.3"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T00:00:00Z","timestamp":1716768000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T00:00:00Z","timestamp":1716768000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100007224","name":"National Foundation for Science and Technology Development","doi-asserted-by":"publisher","award":["MDT 107.01-2021.22"],"award-info":[{"award-number":["MDT 107.01-2021.22"]}],"id":[{"id":"10.13039\/100007224","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":[[2024,10]]},"DOI":"10.1007\/s13042-024-02200-9","type":"journal-article","created":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T16:01:46Z","timestamp":1716825706000},"page":"4829-4843","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Robust adaptive control of uncertain dynamic systems using self-evolving neural learning technique"],"prefix":"10.1007","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7353-8205","authenticated-orcid":false,"given":"Ho Pham Huy","family":"Anh","sequence":"first","affiliation":[]},{"given":"Nguyen Tien","family":"Dat","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,5,27]]},"reference":[{"issue":"1","key":"2200_CR1","doi-asserted-by":"publisher","first-page":"44","DOI":"10.3390\/wevj12010044","volume":"12","author":"G Banda","year":"2021","unstructured":"Banda G, Kolli SG (2021) An intelligent adaptive neural network controller for a direct torque controlled eCAR propulsion system. World Electr Vehic J 12(1):44","journal-title":"World Electr Vehic J"},{"key":"2200_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103135","volume":"71","author":"A Dehghani-Barenji","year":"2022","unstructured":"Dehghani-Barenji A, Ghasemi J (2022) Control the position of a fluid sip by neural network controller. Biomed Signal Process Control 71:103135","journal-title":"Biomed Signal Process Control"},{"key":"2200_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2021.110742","volume":"144","author":"F Zouari","year":"2021","unstructured":"Zouari F, Ibeas A, Boulkroune A, Jinde CAO, Arefi MM (2021) Neural network controller design for fractional-order systems with input nonlinearities and asymmetric time-varying Pseudo-state constraints. Chaos, Solitons Fractals 144:110742","journal-title":"Chaos, Solitons Fractals"},{"issue":"1","key":"2200_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s40430-021-03326-5","volume":"44","author":"MM Farzaneh","year":"2022","unstructured":"Farzaneh MM, Tavakolpour-Saleh AR (2022) Stabilization of a quad-rotor system using an optimal neural network controller. J Braz Soc Mech Sci Eng 44(1):1\u201312","journal-title":"J Braz Soc Mech Sci Eng"},{"key":"2200_CR5","first-page":"1","volume":"2024","author":"Z Lin","year":"2024","unstructured":"Lin Z, Liu Z, Chen CLP, Zhang Y, Wu Z (2024) Adaptive neural inverse optimal control with predetermined tracking accuracy for nonlinear MIMO systems. Nonlinear Dyn 2024:1\u201316","journal-title":"Nonlinear Dyn"},{"key":"2200_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2020.106940","volume":"89","author":"M Jamil","year":"2021","unstructured":"Jamil M, Khan MN, Rind SJ, Awais Q, Uzair M (2021) Neural network predictive control of vibrations in tall structure: An experimental controlled vision. Comput Electr Eng 89:106940","journal-title":"Comput Electr Eng"},{"key":"2200_CR7","doi-asserted-by":"publisher","first-page":"3508","DOI":"10.1109\/TSMC.2021.3071360","volume":"52","author":"J Fei","year":"2021","unstructured":"Fei J, Wang H, Fang Y (2021) Novel neural network fractional-order sliding-mode control with application to active power filter. IEEE Trans Syst Man Cybern Syst 52:3508\u20133518","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"2200_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2021.107534","volume":"96","author":"V Patel","year":"2021","unstructured":"Patel V, Guha D, Purwar S (2021) Neural network aided fractional-order sliding mode controller for frequency regulation of nonlinear power systems. Comput Electr Eng 96:107534","journal-title":"Comput Electr Eng"},{"key":"2200_CR9","doi-asserted-by":"crossref","unstructured":"Song J, Wang Z, Niu Y, Hu J, Yue D (2023), First-and second-order sliding mode control design for networked 2-D systems under round-robin protocol. IEEE Transactions on Cybernetics","DOI":"10.1109\/TCYB.2023.3348501"},{"key":"2200_CR10","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1109\/JAS.2023.123882","volume":"11","author":"D He","year":"2024","unstructured":"He D, Wang H, Tian Y, Guo Y (2024) A fractional-order ultra-local model-based adaptive neural network sliding mode control of n-DOF upper-limb exoskeleton with input dead-zone. IEEE\/CAA J Autom Sin 11:760\u2013781","journal-title":"IEEE\/CAA J Autom Sin"},{"issue":"1","key":"2200_CR11","doi-asserted-by":"publisher","first-page":"49","DOI":"10.22436\/jmcs.024.01.05","volume":"24","author":"P Kumar","year":"2022","unstructured":"Kumar P, Panwar V (2022) Wavelet neural network based controller design for non-affine nonlinear systems. J Math Comput Sci 24(1):49\u201358","journal-title":"J Math Comput Sci"},{"issue":"1","key":"2200_CR12","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1002\/acs.3195","volume":"35","author":"Z Ebrahimi","year":"2021","unstructured":"Ebrahimi Z, Asemani MH, Safavi AA (2021) Observer-based controller design for uncertain disturbed Takagi-Sugeno fuzzy systems: a fuzzy wavelet neural network approach. Int J Adapt Control Signal Process 35(1):122\u2013144","journal-title":"Int J Adapt Control Signal Process"},{"key":"2200_CR13","doi-asserted-by":"crossref","unstructured":"Zhang Y, Wu W, Chen W, Lu H, Zhang W (2023) Output-feedback consensus maneuvering of uncertain MIMO strict-feedback multi-agent systems based on a high-order neural observer. IEEE Transactions on Cybernetics","DOI":"10.1109\/TCYB.2024.3351476"},{"issue":"1","key":"2200_CR14","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1177\/0142331220938205","volume":"43","author":"VM Jape","year":"2021","unstructured":"Jape VM, Suryawanshi HM, Modak JP (2021) An efficient grasshopper optimization with recurrent neural network controller-based induction motor to replace flywheel of the process machine. Trans Inst Meas Control 43(1):151\u2013166","journal-title":"Trans Inst Meas Control"},{"issue":"3","key":"2200_CR15","doi-asserted-by":"publisher","first-page":"1114","DOI":"10.1016\/j.asr.2020.10.052","volume":"67","author":"L Cheng","year":"2021","unstructured":"Cheng L, Wang Z, Jiang F, Li J (2021) Adaptive neural network control of nonlinear systems with unknown dynamics. Adv Space Res 67(3):1114\u20131123","journal-title":"Adv Space Res"},{"key":"2200_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/00207721.2024.2389475","volume":"2024","author":"Q Yu","year":"2024","unstructured":"Yu Q, He X, Wu L, Guo L (2024) Event-triggered prescribed time adaptive fuzzy output-feedback control for nonlinear systems subject to bounded disturbances via command filtering. Int J Syst Sci 2024:1\u201315","journal-title":"Int J Syst Sci"},{"key":"2200_CR17","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1109\/TNNLS.2021.3100533","volume":"34","author":"Y Xie","year":"2021","unstructured":"Xie Y, Ma Q (2021) Adaptive event-triggered neural network control for switching nonlinear systems with time delays. IEEE Trans Neural Netw Learn Syst 34:729\u2013738","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"2200_CR18","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.ins.2021.02.048","volume":"565","author":"Y Zhang","year":"2021","unstructured":"Zhang Y, Wang F, Yan F (2021) Fast finite time adaptive neural network control for a class of uncertain nonlinear systems subject to un-modeled dynamics. Inf Sci 565:306\u2013325","journal-title":"Inf Sci"},{"key":"2200_CR19","doi-asserted-by":"crossref","unstructured":"Chen G, Dong J (2024) Approximate optimal adaptive prescribed performance control for uncertain nonlinear systems with feature information. IEEE Transactions on Systems, Man, and Cybernetics","DOI":"10.1109\/TSMC.2023.3342854"},{"issue":"10","key":"2200_CR20","doi-asserted-by":"publisher","first-page":"6518","DOI":"10.1109\/TII.2019.2958381","volume":"16","author":"AJ Al-Mahasneh","year":"2020","unstructured":"Al-Mahasneh AJ, Anavatti MAG (2020) Self-evolving neural control for a class of nonlinear discrete-time dynamic systems with unknown dynamics and unknown disturbances. IEEE Trans Ind Inf 16(10):6518\u20136529. https:\/\/doi.org\/10.1109\/TII.2019.2958381","journal-title":"IEEE Trans Ind Inf"},{"issue":"10","key":"2200_CR21","doi-asserted-by":"publisher","first-page":"6122","DOI":"10.1109\/TCYB.2022.3158702","volume":"53","author":"AJ Al-Mahasneh","year":"2022","unstructured":"Al-Mahasneh AJ, Anavatti (2022) Novel general regression neural networks for improving control accuracy of nonlinear MIMO discrete-time systems. IEEE Cybern 53(10):6122\u20136132. https:\/\/doi.org\/10.1109\/TCYB.2022.3158702","journal-title":"IEEE Cybern"},{"issue":"3","key":"2200_CR22","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1214\/aoms\/1177704472","volume":"33","author":"E Parzen","year":"1962","unstructured":"Parzen E (1962) On estimation of a probability density function and mode. Ann Math Stat 33(3):1065\u20131076","journal-title":"Ann Math Stat"},{"issue":"6","key":"2200_CR23","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1109\/72.97934","volume":"2","author":"DF Specht","year":"1991","unstructured":"Specht DF (1991) A general regression neural network. IEEE Trans Neural Netw 2(6):568\u2013576","journal-title":"IEEE Trans Neural Netw"},{"issue":"2","key":"2200_CR24","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1162\/neco.1991.3.2.246","volume":"3","author":"J Park","year":"1991","unstructured":"Park J, Sandberg IW (1991) Universal approximation using radial-basis-function networks. Neural Comput 3(2):246\u2013257","journal-title":"Neural Comput"},{"issue":"9","key":"2200_CR25","doi-asserted-by":"publisher","first-page":"1977","DOI":"10.1109\/TCYB.2014.2363073","volume":"45","author":"H Wang","year":"2015","unstructured":"Wang H, Liu K, Liu X, Chen B, Lin C (2015) Neural-based adaptive output-feedback control for a class of non-strict-feedback stochastic nonlinear systems. IEEE Trans Cybern 45(9):1977\u20131987","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"2200_CR26","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1109\/TFUZZ.2015.2418000","volume":"24","author":"YJ Liu","year":"2016","unstructured":"Liu YJ, Gao Y, Tong S, Li Y (2016) Fuzzy approximation-based adaptive back-stepping optimal control for a class of nonlinear discrete-time systems with dead-zone. IEEE Trans Fuzzy Syst 24(1):16\u201328","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"9","key":"2200_CR27","doi-asserted-by":"publisher","first-page":"1490","DOI":"10.1109\/TNN.2009.2027233","volume":"20","author":"H Zhang","year":"2009","unstructured":"Zhang H, Luo Y, Liu D (2009) Neural-network-based near-optimal control for a class of discrete-time affine nonlinear systems with control constraints. IEEE Trans Neural Netw 20(9):1490\u20131503","journal-title":"IEEE Trans Neural Netw"},{"issue":"7","key":"2200_CR28","doi-asserted-by":"publisher","first-page":"5367","DOI":"10.1109\/TIE.2017.2777414","volume":"65","author":"C Treesatayapun","year":"2018","unstructured":"Treesatayapun C (2018) Discrete-time adaptive controller for unfixed and unknown control direction. IEEE Trans Ind Electron 65(7):5367\u20135375","journal-title":"IEEE Trans Ind Electron"},{"issue":"4","key":"2200_CR29","doi-asserted-by":"publisher","first-page":"1149","DOI":"10.1109\/TNN.2007.899253","volume":"18","author":"BJ Yang","year":"2007","unstructured":"Yang BJ, Calise AJ (2007) Adaptive control of a class of non-affine systems using neural networks. IEEE Trans Neural Netw 18(4):1149\u20131159","journal-title":"IEEE Trans Neural Netw"},{"key":"2200_CR30","doi-asserted-by":"publisher","first-page":"2525","DOI":"10.1109\/TSMC.2019.2915950","volume":"51","author":"AJ Al-Mahasneh","year":"2019","unstructured":"Al-Mahasneh AJ, Anavatti SG, Garratt MA, Pratama M (2019) Stable adaptive controller based on generalized regression neural networks and sliding mode control for a class of nonlinear time-varying systems. IEEE Trans Syst Man Cybern Syst 51:2525\u20132535","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"11","key":"2200_CR31","doi-asserted-by":"publisher","first-page":"2670","DOI":"10.1109\/TCYB.2015.2494007","volume":"46","author":"Y Liu","year":"2016","unstructured":"Liu Y, Tong S (2016) Optimal control-based adaptive NN design for a class of nonlinear discrete-time block-triangular systems. IEEE Trans Cybern 46(11):2670\u20132680","journal-title":"IEEE Trans Cybern"},{"issue":"5","key":"2200_CR32","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1109\/TFUZZ.2015.2505088","volume":"24","author":"Y Liu","year":"2016","unstructured":"Liu Y, Tong S, Li D, Gao Y (2016) Fuzzy adaptive control with state observer for a class of nonlinear discrete-time systems with input constraint. IEEE Trans Fuzzy Syst 24(5):1147\u20131158","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"9","key":"2200_CR33","doi-asserted-by":"publisher","first-page":"1599","DOI":"10.1109\/TNN.2008.2000446","volume":"19","author":"SS Ge","year":"2008","unstructured":"Ge SS, Yang C, Lee TH (2008) Adaptive predictive control using neural network for a class of pure-feedback systems in discrete time. IEEE Trans Neural Netw 19(9):1599\u20131614","journal-title":"IEEE Trans Neural Netw"},{"issue":"3","key":"2200_CR34","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1109\/TCYB.2014.2329495","volume":"45","author":"Y Liu","year":"2015","unstructured":"Liu Y, Tong S (2015) Adaptive NN tracking control of uncertain nonlinear discrete-time systems with non-affine dead-zone input. IEEE Trans Cybern 45(3):497\u2013505","journal-title":"IEEE Trans Cybern"},{"key":"2200_CR35","unstructured":"MinSeg: Minseg (2019)."}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-024-02200-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-024-02200-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-024-02200-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T16:41:08Z","timestamp":1726245668000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-024-02200-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,27]]},"references-count":35,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["2200"],"URL":"https:\/\/doi.org\/10.1007\/s13042-024-02200-9","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2024,5,27]]},"assertion":[{"value":"20 May 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 April 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 May 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}