{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T00:16:06Z","timestamp":1774570566685,"version":"3.50.1"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T00:00:00Z","timestamp":1742515200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T00:00:00Z","timestamp":1742515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci. China Inf. Sci."],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1007\/s11432-024-4294-0","type":"journal-article","created":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T19:19:50Z","timestamp":1743275990000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Data-induced learning control for unknown nonlinear systems with full-tracking performances"],"prefix":"10.1007","volume":"68","author":[{"given":"Changxin","family":"Lu","sequence":"first","affiliation":[]},{"given":"Deyuan","family":"Meng","sequence":"additional","affiliation":[]},{"given":"Hongyi","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,3,21]]},"reference":[{"key":"4294_CR1","doi-asserted-by":"publisher","first-page":"162203","DOI":"10.1007\/s11432-023-3931-0","volume":"67","author":"Y N Yang","year":"2024","unstructured":"Yang Y N, Jiang H X, Hua C C, et al. Finite-time composite learning control for nonlinear teleoperation systems under networked time-varying delays. Sci China Inf Sci, 2024, 67: 162203","journal-title":"Sci China Inf Sci"},{"key":"4294_CR2","doi-asserted-by":"publisher","first-page":"162202","DOI":"10.1007\/s11432-023-3929-3","volume":"67","author":"L L Li","year":"2024","unstructured":"Li L L, Yang R N, Feng Z G, et al. Resilient sliding mode control for 2D CPSs under denial-of-service attacks. Sci China Inf Sci, 2024, 67: 162202","journal-title":"Sci China Inf Sci"},{"key":"4294_CR3","doi-asserted-by":"publisher","first-page":"1275","DOI":"10.1080\/00207179.2011.574236","volume":"84","author":"J X Xu","year":"2011","unstructured":"Xu J X. A survey on iterative learning control for nonlinear systems. Int J Control, 2011, 84: 1275\u20131294","journal-title":"Int J Control"},{"key":"4294_CR4","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/s11432-010-0018-8","volume":"53","author":"M X Sun","year":"2010","unstructured":"Sun M X, Wang D W, Chen P N. Repetitive learning control of nonlinear systems over finite intervals. Sci China Inf Sci, 2010, 53: 115\u2013128","journal-title":"Sci China Inf Sci"},{"key":"4294_CR5","doi-asserted-by":"publisher","first-page":"111100","DOI":"10.1016\/j.automatica.2023.111100","volume":"154","author":"H Ren","year":"2023","unstructured":"Ren H, Cheng Z, Qin J, et al. Deception attacks on event-triggered distributed consensus estimation for nonlinear systems. Automatica, 2023, 154: 111100","journal-title":"Automatica"},{"key":"4294_CR6","doi-asserted-by":"publisher","first-page":"172202","DOI":"10.1007\/s11432-023-3949-3","volume":"67","author":"Z J Zhao","year":"2024","unstructured":"Zhao Z J, Wu J L, Liu Z J, et al. Adaptive neural network control of a 2-DOF helicopter system considering input constraints and global prescribed performance. Sci China Inf Sci, 2024, 67: 172202","journal-title":"Sci China Inf Sci"},{"key":"4294_CR7","doi-asserted-by":"publisher","first-page":"109692","DOI":"10.1016\/j.automatica.2021.109692","volume":"129","author":"J Zhang","year":"2021","unstructured":"Zhang J, Meng D. Cooperative iterative learning for uncertain nonlinear agents in leaderless switching networks. Automatica, 2021, 129: 109692","journal-title":"Automatica"},{"key":"4294_CR8","doi-asserted-by":"publisher","first-page":"110833","DOI":"10.1016\/j.automatica.2022.110833","volume":"149","author":"C M Verrelli","year":"2023","unstructured":"Verrelli C M, Tomei P. Adaptive learning control for nonlinear systems: a single learning estimation scheme is enough. Automatica, 2023, 149: 110833","journal-title":"Automatica"},{"key":"4294_CR9","doi-asserted-by":"publisher","first-page":"1199","DOI":"10.1002\/acs.3146","volume":"34","author":"C Lu","year":"2020","unstructured":"Lu C, Pan Y, Liu Y, et al. Adaptive fuzzy finite-time fault-tolerant control of nonlinear systems with state constraints and input quantization. Adaptive Control Signal, 2020, 34: 1199\u20131219","journal-title":"Adaptive Control Signal"},{"key":"4294_CR10","doi-asserted-by":"publisher","first-page":"5085","DOI":"10.1109\/TNNLS.2021.3062633","volume":"33","author":"X Li","year":"2021","unstructured":"Li X, Shen D, Ding B. Iterative learning control for output tracking of nonlinear systems with unavailable state information. IEEE Trans Neural Netw Learn Syst, 2021, 33: 5085\u20135092","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"4294_CR11","doi-asserted-by":"publisher","first-page":"6416","DOI":"10.1109\/TNNLS.2021.3136644","volume":"34","author":"Y Chen","year":"2023","unstructured":"Chen Y, Huang D, Qin N, et al. Adaptive iterative learning control for a class of nonlinear strict-feedback systems with unknown state delays. IEEE Trans Neural Netw Learn Syst, 2023, 34: 6416\u20136427","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"4294_CR12","doi-asserted-by":"publisher","first-page":"110024","DOI":"10.1016\/j.automatica.2021.110024","volume":"137","author":"F Zhang","year":"2022","unstructured":"Zhang F, Meng D, Li X. Robust adaptive learning for attitude control of rigid bodies with initial alignment errors. Automatica, 2022, 137: 110024","journal-title":"Automatica"},{"key":"4294_CR13","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1109\/TIE.2018.2826450","volume":"66","author":"Y Jian","year":"2019","unstructured":"Jian Y, Huang D, Liu J, et al. High-precision tracking of piezoelectric actuator using iterative learning control and direct inverse compensation of hysteresis. IEEE Trans Ind Electron, 2019, 66: 368\u2013377","journal-title":"IEEE Trans Ind Electron"},{"key":"4294_CR14","doi-asserted-by":"publisher","first-page":"1259","DOI":"10.1016\/S0005-1098(03)00081-5","volume":"39","author":"H G Tanner","year":"2003","unstructured":"Tanner H G, Kyriakopoulos K J. Backstepping for nonsmooth systems. Automatica, 2003, 39: 1259\u20131265","journal-title":"Automatica"},{"key":"4294_CR15","doi-asserted-by":"publisher","first-page":"684","DOI":"10.2514\/2.4310","volume":"21","author":"J Ahmed","year":"1998","unstructured":"Ahmed J, Coppola V T, Bernstein D S. Adaptive asymptotic tracking of spacecraft attitude motion with inertia matrix identification. J Guidance Control Dyn, 1998, 21: 684\u2013691","journal-title":"J Guidance Control Dyn"},{"key":"4294_CR16","doi-asserted-by":"publisher","first-page":"753","DOI":"10.1109\/3468.895898","volume":"30","author":"C Kwan","year":"2000","unstructured":"Kwan C, Lewis F L. Robust backstepping control of nonlinear systems using neural networks. IEEE Trans Syst Man Cybern A, 2000, 30: 753\u2013766","journal-title":"IEEE Trans Syst Man Cybern A"},{"key":"4294_CR17","doi-asserted-by":"publisher","first-page":"1273","DOI":"10.1109\/TFUZZ.2020.2973950","volume":"29","author":"Z Zhu","year":"2021","unstructured":"Zhu Z, Pan Y, Zhou Q, et al. Event-triggered adaptive fuzzy control for stochastic nonlinear systems with unmeasured states and unknown backlash-like hysteresis. IEEE Trans Fuzzy Syst, 2021, 29: 1273\u20131283","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"4294_CR18","doi-asserted-by":"publisher","first-page":"192202","DOI":"10.1007\/s11432-020-3153-x","volume":"65","author":"X Cheng","year":"2022","unstructured":"Cheng X, Liu Z-W, Hou H Z, et al. Disturbance observer-based nonsingular fixed-time sliding mode tracking control for a quadcopter. Sci China Inf Sci, 2022, 65: 192202","journal-title":"Sci China Inf Sci"},{"key":"4294_CR19","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/S0167-6911(02)00130-5","volume":"46","author":"Y Hong","year":"2002","unstructured":"Hong Y, Xu Y, Huang J. Finite-time control for robot manipulators. Syst Control Lett, 2002, 46: 243\u2013253","journal-title":"Syst Control Lett"},{"key":"4294_CR20","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1109\/TFUZZ.2018.2882167","volume":"27","author":"S Sui","year":"2018","unstructured":"Sui S, Chen C L P, Tong S. Fuzzy adaptive finite-time control design for nontriangular stochastic nonlinear systems. IEEE Trans Fuzzy Syst, 2018, 27: 172\u2013184","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"4294_CR21","doi-asserted-by":"publisher","first-page":"3790","DOI":"10.1109\/TAC.2022.3197562","volume":"68","author":"Y Li","year":"2023","unstructured":"Li Y, Li Y X, Tong S. Event-based finite-time control for nonlinear multiagent systems with asymptotic tracking. IEEE Trans Automat Contr, 2023, 68: 3790\u20133797","journal-title":"IEEE Trans Automat Contr"},{"key":"4294_CR22","doi-asserted-by":"publisher","first-page":"2090","DOI":"10.1109\/TAC.2008.929402","volume":"53","author":"C P Bechlioulis","year":"2008","unstructured":"Bechlioulis C P, Rovithakis G A. Robust adaptive control of feedback linearizable MIMO nonlinear systems with prescribed performance. IEEE Trans Automat Contr, 2008, 53: 2090\u20132099","journal-title":"IEEE Trans Automat Contr"},{"key":"4294_CR23","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/j.automatica.2017.02.005","volume":"80","author":"Y Li","year":"2017","unstructured":"Li Y, Tong S, Liu L, et al. Adaptive output-feedback control design with prescribed performance for switched nonlinear systems. Automatica, 2017, 80: 225\u2013231","journal-title":"Automatica"},{"key":"4294_CR24","doi-asserted-by":"publisher","first-page":"2106","DOI":"10.1109\/JAS.2022.105413","volume":"9","author":"Y Liu","year":"2022","unstructured":"Liu Y, Li H, Lu R, et al. An overview of finite\/fixed-time control and its application in engineering systems. IEEE CAA J Autom Sin, 2022, 9: 2106\u20132120","journal-title":"IEEE CAA J Autom Sin"},{"key":"4294_CR25","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1109\/TSMC.2022.3179444","volume":"53","author":"Y Liu","year":"2023","unstructured":"Liu Y, Yao D, Wang L, et al. Distributed adaptive fixed-time robust platoon control for fully heterogeneous vehicles. IEEE Trans Syst Man Cybern Syst, 2023, 53: 264\u2013274","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"4294_CR26","doi-asserted-by":"publisher","first-page":"2388","DOI":"10.1109\/TFUZZ.2020.2999746","volume":"29","author":"Y Pan","year":"2020","unstructured":"Pan Y, Du P, Xue H, et al. Singularity-free fixed-time fuzzy control for robotic systems with user-defined performance. IEEE Trans Fuzzy Syst, 2020, 29: 2388\u20132398","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"4294_CR27","doi-asserted-by":"publisher","first-page":"4912","DOI":"10.1109\/TSMC.2023.3260004","volume":"53","author":"C Lu","year":"2023","unstructured":"Lu C, Ma H, Pan Y, et al. Observer-based finite-time fault-tolerant control for nonstrict-feedback nonlinear systems with multiple uncertainties. IEEE Trans Syst Man Cybern Syst, 2023, 53: 4912\u20134921","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"4294_CR28","doi-asserted-by":"publisher","first-page":"1252","DOI":"10.1109\/JAS.2023.123558","volume":"10","author":"H Ren","year":"2023","unstructured":"Ren H, Ma H, Li H, et al. Adaptive fixed-time control of nonlinear MASs with actuator faults. IEEE CAA J Autom Sin, 2023, 10: 1252\u20131262","journal-title":"IEEE CAA J Autom Sin"},{"key":"4294_CR29","doi-asserted-by":"publisher","first-page":"3700","DOI":"10.1109\/TFUZZ.2023.3267425","volume":"31","author":"W Xiao","year":"2023","unstructured":"Xiao W, Ma H, Zhou L, et al. Adaptive fuzzy fixed-time formation-containment control for Euler-Lagrange systems. IEEE Trans Fuzzy Syst, 2023, 31: 3700\u20133709","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"4294_CR30","doi-asserted-by":"publisher","first-page":"6959","DOI":"10.1109\/TCYB.2020.3046316","volume":"52","author":"H Wang","year":"2022","unstructured":"Wang H, Bai W, Zhao X, et al. Finite-time-prescribed performance-based adaptive fuzzy control for strict-feedback nonlinear systems with dynamic uncertainty and actuator faults. IEEE Trans Cybern, 2022, 52: 6959\u20136971","journal-title":"IEEE Trans Cybern"},{"key":"4294_CR31","doi-asserted-by":"publisher","first-page":"1932","DOI":"10.1109\/TCYB.2022.3171239","volume":"53","author":"L Zhang","year":"2023","unstructured":"Zhang L, Che W W, Chen B, et al. Adaptive fuzzy output-feedback consensus tracking control of nonlinear multiagent systems in prescribed performance. IEEE Trans Cybern, 2023, 53: 1932\u20131943","journal-title":"IEEE Trans Cybern"},{"key":"4294_CR32","doi-asserted-by":"publisher","first-page":"152201","DOI":"10.1007\/s11432-023-3948-y","volume":"67","author":"Y Wang","year":"2024","unstructured":"Wang Y, Liu Y G. Global adaptive output-feedback tracking with prescribed performance for uncertain nonlinear systems. Sci China Inf Sci, 2024, 67: 152201","journal-title":"Sci China Inf Sci"},{"key":"4294_CR33","doi-asserted-by":"publisher","first-page":"528","DOI":"10.2514\/1.G000497","volume":"38","author":"B Wu","year":"2015","unstructured":"Wu B, Wang D, Poh E K. High precision satellite attitude tracking control via iterative learning control. J Guidance Control Dyn, 2015, 38: 528\u2013534","journal-title":"J Guidance Control Dyn"},{"key":"4294_CR34","doi-asserted-by":"publisher","first-page":"108792","DOI":"10.1016\/j.automatica.2019.108792","volume":"113","author":"A M Zou","year":"2020","unstructured":"Zou A M, Kumar K D, de Ruiter A H J. Fixed-time attitude tracking control for rigid spacecraft. Automatica, 2020, 113: 108792","journal-title":"Automatica"},{"key":"4294_CR35","doi-asserted-by":"publisher","first-page":"1099","DOI":"10.1109\/TSMCC.2007.905759","volume":"37","author":"H S Ahn","year":"2007","unstructured":"Ahn H S, Chen Y Q, Moore K L. Iterative learning control: brief survey and categorization. IEEE Trans Syst Man Cybern C, 2007, 37: 1099\u20131121","journal-title":"IEEE Trans Syst Man Cybern C"},{"key":"4294_CR36","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1109\/MCS.2006.1636313","volume":"26","author":"D A Bristow","year":"2006","unstructured":"Bristow D A, Tharayil M, Alleyne A G. A survey of iterative learning control. IEEE Control Syst Mag, 2006, 26: 96\u2013114","journal-title":"IEEE Control Syst Mag"},{"key":"4294_CR37","doi-asserted-by":"publisher","first-page":"1907","DOI":"10.1109\/TAC.2007.906215","volume":"52","author":"A Tayebi","year":"2007","unstructured":"Tayebi A, Chien C J. A unified adaptive iterative learning control framework for uncertain nonlinear systems. IEEE Trans Automat Contr, 2007, 52: 1907\u20131913","journal-title":"IEEE Trans Automat Contr"},{"key":"4294_CR38","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1109\/TCYB.2021.3086091","volume":"53","author":"J Zhang","year":"2021","unstructured":"Zhang J, Meng D. Iterative rectifying methods for nonrepetitive continuous-time learning control systems. IEEE Trans Cybern, 2021, 53: 338\u2013351","journal-title":"IEEE Trans Cybern"},{"key":"4294_CR39","doi-asserted-by":"publisher","first-page":"1195","DOI":"10.1016\/j.automatica.2004.01.026","volume":"40","author":"A Tayebi","year":"2004","unstructured":"Tayebi A. Adaptive iterative learning control for robot manipulators. Automatica, 2004, 40: 1195\u20131203","journal-title":"Automatica"},{"key":"4294_CR40","doi-asserted-by":"publisher","first-page":"100915","DOI":"10.1016\/j.arcontrol.2023.100915","volume":"56","author":"C de Persis","year":"2023","unstructured":"de Persis C, Tesi P. Learning controllers for nonlinear systems from data. Annu Rev Control, 2023, 56: 100915","journal-title":"Annu Rev Control"},{"key":"4294_CR41","doi-asserted-by":"publisher","first-page":"110902","DOI":"10.1016\/j.automatica.2023.110902","volume":"151","author":"F Zhang","year":"2023","unstructured":"Zhang F, Meng D, Li X. Chattering-free adaptive iterative learning for attitude tracking control of uncertain spacecraft. Automatica, 2023, 151: 110902","journal-title":"Automatica"},{"key":"4294_CR42","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1016\/j.ifacol.2022.11.278","volume":"55","author":"Z Chen","year":"2022","unstructured":"Chen Z, Liang X, Zheng M. A new iterative learning control algorithm for final error reduction. IFAC-PapersOnLine, 2022, 55: 788\u2013794","journal-title":"IFAC-PapersOnLine"},{"key":"4294_CR43","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1109\/TCST.2011.2121907","volume":"20","author":"W J Dong","year":"2011","unstructured":"Dong W J, Farrell J A, Polycarpou M M, et al. Command filtered adaptive backstepping. IEEE Trans Contr Syst Technol, 2011, 20: 566\u2013580","journal-title":"IEEE Trans Contr Syst Technol"}],"container-title":["Science China Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-024-4294-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11432-024-4294-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-024-4294-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:41:33Z","timestamp":1743468093000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11432-024-4294-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,21]]},"references-count":43,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["4294"],"URL":"https:\/\/doi.org\/10.1007\/s11432-024-4294-0","relation":{},"ISSN":["1674-733X","1869-1919"],"issn-type":[{"value":"1674-733X","type":"print"},{"value":"1869-1919","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,21]]},"assertion":[{"value":"8 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 July 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 August 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 March 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"182201"}}