{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T10:07:33Z","timestamp":1743847653282,"version":"3.37.3"},"reference-count":53,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51822502","91948202","61973147"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Foundation for Innovative Research Groups of the natural Science Foundation of China","award":["51521003"]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["HIT.BRETIV.201903"],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013314","name":"111 Project","doi-asserted-by":"publisher","award":["B07018"],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1016\/j.neucom.2020.04.104","type":"journal-article","created":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T06:44:38Z","timestamp":1588920278000},"page":"421-430","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":30,"special_numbering":"C","title":["Adaptive NN-based finite-time tracking control for wheeled mobile robots with time-varying full state constraints"],"prefix":"10.1016","volume":"403","author":[{"given":"Shu","family":"Li","sequence":"first","affiliation":[]},{"given":"Qingfan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Xin","family":"An","sequence":"additional","affiliation":[]},{"given":"Haibo","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Yingxue","family":"Hou","sequence":"additional","affiliation":[]},{"given":"Zongquan","family":"Deng","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.neucom.2020.04.104_b0005","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1162\/neco.1991.3.2.246","article-title":"Universal approximation using radial-basis-function networks","volume":"3","author":"Park","year":"1991","journal-title":"Neural Comput."},{"key":"10.1016\/j.neucom.2020.04.104_b0010","article-title":"Adaptive neural network control of robotic manipulators","volume":"19","author":"Ge","year":"1998","journal-title":"World Scientific"},{"issue":"2","key":"10.1016\/j.neucom.2020.04.104_b0015","first-page":"1","article-title":"Adaptive tracking control of surface vessel using optimized backstepping technique","volume":"99","author":"Wen","year":"2019","journal-title":"IEEE Trans. Cybernet."},{"issue":"2","key":"10.1016\/j.neucom.2020.04.104_b0020","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1109\/TNNLS.2011.2178559","article-title":"Adaptive computation algorithm for RBF neural network","volume":"23","author":"Han","year":"2012","journal-title":"IEEE Trans. Neural Networks Learn. Syst."},{"issue":"9","key":"10.1016\/j.neucom.2020.04.104_b0025","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TII.2015.2496309","article-title":"Optimized adaptive nonlinear tracking control using actor-critic reinforcement learning strategy","volume":"14","author":"Wen","year":"2015","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"3","key":"10.1016\/j.neucom.2020.04.104_b0030","doi-asserted-by":"crossref","first-page":"1509","DOI":"10.1007\/s11071-015-1958-8","article-title":"Robust adaptive neural control of flexible hypersonic flight vehicle with dead-zone input nonlinearity","volume":"80","author":"Xu","year":"2015","journal-title":"Nonlinear Dyn."},{"issue":"8","key":"10.1016\/j.neucom.2020.04.104_b0035","doi-asserted-by":"crossref","first-page":"926","DOI":"10.1016\/j.fss.2007.08.015","article-title":"How to design a fuzzy adaptive controller based on observers for uncertain affine nonlinear systems","volume":"159","author":"Boulkroune","year":"2008","journal-title":"Fuzzy Sets Syst."},{"issue":"6","key":"10.1016\/j.neucom.2020.04.104_b0040","first-page":"1012","article-title":"Adaptive fuzzy control of a class of nonlinear systems by fuzzy approximation approach","volume":"20","author":"Chen","year":"2012","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"6","key":"10.1016\/j.neucom.2020.04.104_b0045","doi-asserted-by":"crossref","first-page":"1426","DOI":"10.1109\/TFUZZ.2016.2516587","article-title":"Adaptive fuzzy output feedback control for switched nonstrict-feedback nonlinear systems with input nonlinearities","volume":"24","author":"Tong","year":"2016","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.neucom.2020.04.104_b0050","article-title":"Fuzzy based multi-error constraint control for switched nonlinear systems and its applications","author":"Liu","year":"2018","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"12","key":"10.1016\/j.neucom.2020.04.104_b0055","doi-asserted-by":"crossref","first-page":"1835","DOI":"10.1016\/S0005-1098(00)00116-3","article-title":"Adaptive neural network control for strict-feedback nonlinear systems using backstepping design","volume":"36","author":"Zhang","year":"2000","journal-title":"Automatica"},{"issue":"6","key":"10.1016\/j.neucom.2020.04.104_b0060","doi-asserted-by":"crossref","first-page":"1530","DOI":"10.1016\/j.automatica.2009.02.025","article-title":"Direct adaptive fuzzy control of nonlinear strict-feedback systems","volume":"45","author":"Chen","year":"2009","journal-title":"Automatica"},{"issue":"12","key":"10.1016\/j.neucom.2020.04.104_b0065","doi-asserted-by":"crossref","first-page":"1749","DOI":"10.1016\/j.fss.2008.09.004","article-title":"Observer-based fuzzy adaptive control for strict-feedback nonlinear systems","volume":"160","author":"Tong","year":"2009","journal-title":"Fuzzy Sets Syst."},{"issue":"9","key":"10.1016\/j.neucom.2020.04.104_b0070","doi-asserted-by":"crossref","first-page":"1503","DOI":"10.1016\/j.automatica.2010.06.007","article-title":"Output feedback strict passivity of discrete-time nonlinear systems and adaptive control system design with a PFC","volume":"46","author":"Mizumoto","year":"2010","journal-title":"Automatica"},{"issue":"1","key":"10.1016\/j.neucom.2020.04.104_b0075","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1109\/TFUZZ.2004.839663","article-title":"Adaptive fuzzy stabilization for strict-feedback canonical nonlinear systems via backstepping and small-gain approach","volume":"13","author":"Yang","year":"2005","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"4","key":"10.1016\/j.neucom.2020.04.104_b0080","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1109\/TCYB.2016.2536628","article-title":"Adaptive fuzzy output-feedback stabilization control for a class of switched nonstrict-feedback nonlinear systems","volume":"47","author":"Li","year":"2017","journal-title":"IEEE Trans. Cybern."},{"issue":"11","key":"10.1016\/j.neucom.2020.04.104_b0085","doi-asserted-by":"crossref","first-page":"5200","DOI":"10.1109\/TNNLS.2018.2793968","article-title":"Adaptive neural dynamic surface control for nstrict-feedback systems with output dead zone","volume":"29","author":"Shi","year":"2018","journal-title":"IEEE Trans. Neural Networks Learn. Syst."},{"issue":"12","key":"10.1016\/j.neucom.2020.04.104_b0090","doi-asserted-by":"crossref","first-page":"2073","DOI":"10.1109\/TNN.2008.2003295","article-title":"Neural-network-based state feedback control of a nonlinear discrete-time system in nonstrict feedback form","volume":"19","author":"Jagannathan","year":"2008","journal-title":"IEEE Trans. Neural Networks"},{"issue":"5","key":"10.1016\/j.neucom.2020.04.104_b0095","doi-asserted-by":"crossref","first-page":"1162","DOI":"10.1109\/TSMCB.2009.2013272","article-title":"Reinforcement-learning-based output-feedback control of nonstrict nonlinear discrete-time systems with application to engine emission control","volume":"39","author":"Shih","year":"2009","journal-title":"IEEE Trans. Syst. Man Cybern. Part B (Cybernetics)"},{"issue":"9","key":"10.1016\/j.neucom.2020.04.104_b0100","doi-asserted-by":"crossref","first-page":"1977","DOI":"10.1109\/TCYB.2014.2363073","article-title":"Neural-based adaptive output-feedback control for a class of nonstrict-feedback stochastic nonlinear systems","volume":"45","author":"Wang","year":"2015","journal-title":"IEEE Trans. Cybern."},{"issue":"7","key":"10.1016\/j.neucom.2020.04.104_b0105","first-page":"3022","article-title":"Observer-based adaptive fault-tolerant tracking control of nonlinear nonstrict-feedback systems","volume":"29","author":"Wu","year":"2018","journal-title":"IEEE Trans. Neural Networks Learn. Syst."},{"key":"10.1016\/j.neucom.2020.04.104_b0110","first-page":"1","article-title":"NN reinforcement learning adaptive control for a class of nonstrict-feedback discrete-time systems","author":"Bai","year":"2020","journal-title":"IEEE Trans. Cybern."},{"issue":"7","key":"10.1016\/j.neucom.2020.04.104_b0115","doi-asserted-by":"crossref","first-page":"1408","DOI":"10.1109\/TSMC.2018.2871627","article-title":"Transportation control of double-pendulum cranes with a nonlinear quasi-PID scheme: design and experiments","volume":"9","author":"Sun","year":"2019","journal-title":"IEEE Trans. Systems Man Cybernet.: Systems"},{"issue":"7","key":"10.1016\/j.neucom.2020.04.104_b0120","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1177\/0142331213509828","article-title":"Reinforcement learning-based intelligent tracking control for wheeled mobile robot","volume":"36","author":"Luy","year":"2014","journal-title":"Trans. Inst. Meas. Control"},{"key":"10.1016\/j.neucom.2020.04.104_b0125","first-page":"1","article-title":"Reinforcement learning neural network-based adaptive control for state and input time-delayed wheeled mobile robots","author":"Li","year":"2018","journal-title":"IEEE Trans. Systems Man Cybernet.: Systems"},{"key":"10.1016\/j.neucom.2020.04.104_b0130","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TCYB.2019.2904052","article-title":"ADP-based online tracking control of partially uncertain time-delayed nonlinear system and application to wheeled mobile robots","author":"Li","year":"2019","journal-title":"IEEE Trans. Cybernet."},{"issue":"10","key":"10.1016\/j.neucom.2020.04.104_b0135","doi-asserted-by":"crossref","first-page":"2109","DOI":"10.1049\/iet-cta.2010.0026","article-title":"Adaptive tracking control for a class of wheeled mobile robots with unknown skidding and slipping","volume":"4","author":"Yoo","year":"2010","journal-title":"IET Control Theory Appl."},{"issue":"9","key":"10.1016\/j.neucom.2020.04.104_b0140","doi-asserted-by":"crossref","first-page":"2834","DOI":"10.1016\/j.jfranklin.2012.08.009","article-title":"Finite-time tracking control of multiple nonholonomic mobile robots","volume":"349","author":"Ou","year":"2012","journal-title":"J. Franklin Inst."},{"issue":"4","key":"10.1016\/j.neucom.2020.04.104_b0145","doi-asserted-by":"crossref","first-page":"3359","DOI":"10.1109\/TIE.2016.2613839","article-title":"Disturbance attenuation tracking control for wheeled mobile robots with skidding and slipping","volume":"64","author":"Chen","year":"2016","journal-title":"IEEE Trans. Ind. Electron."},{"key":"10.1016\/j.neucom.2020.04.104_b0150","article-title":"Definition and application of variable resistance coefficient for wheeled mobile robots on deformable terrain","author":"Ding","year":"2018","journal-title":"IEEE Trans. Robotics"},{"issue":"5","key":"10.1016\/j.neucom.2020.04.104_b0155","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1109\/JAS.2018.7511195","article-title":"Adaptive neural network-based control for a class of nonlinear pure-feedback systems with time-varying full state constraints","volume":"5","author":"Gao","year":"2018","journal-title":"IEEE\/CAA J. Autom. Sin."},{"issue":"4","key":"10.1016\/j.neucom.2020.04.104_b0160","doi-asserted-by":"crossref","first-page":"1249","DOI":"10.1109\/TCYB.2018.2799683","article-title":"Neural networks-based adaptive control for nonlinear state constrained systems with input delay","volume":"49","author":"Li","year":"2019","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.neucom.2020.04.104_b0165","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.automatica.2017.07.028","article-title":"Adaptive control-based barrier Lyapunov functions for a class of stochastic nonlinear systems with full state constraints","volume":"87","author":"Liu","year":"2018","journal-title":"Automatica"},{"key":"10.1016\/j.neucom.2020.04.104_b0170","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.automatica.2018.10.030","article-title":"Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone","volume":"100","author":"Li","year":"2019","journal-title":"Automatica"},{"issue":"8","key":"10.1016\/j.neucom.2020.04.104_b0175","doi-asserted-by":"crossref","first-page":"2378","DOI":"10.1109\/TSMC.2017.2675540","article-title":"Adaptive neural dynamic surface control of pure-feedback nonlinear systems with full state constraints and dynamic uncertainties","volume":"47","author":"Zhang","year":"2017","journal-title":"IEEE Trans. Systems Man Cybernet.: Systems"},{"key":"10.1016\/j.neucom.2020.04.104_b0180","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.automatica.2015.10.034","article-title":"Barrier Lyapunov functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints","volume":"64","author":"Liu","year":"2015","journal-title":"Automatica"},{"key":"10.1016\/j.neucom.2020.04.104_b0185","first-page":"1","article-title":"Finite-time tracking control for strict-feedback nonlinear systems with full state constraints","author":"Wang","year":"2017","journal-title":"Int. J. Control"},{"issue":"7","key":"10.1016\/j.neucom.2020.04.104_b0190","doi-asserted-by":"crossref","first-page":"1541","DOI":"10.1109\/TSMC.2018.2854770","article-title":"Finite-time adaptive fuzzy control for nonlinear systems with full state constraints","volume":"49","author":"Xia","year":"2018","journal-title":"Trans. Systems Man Cybernet.: Systems"},{"key":"10.1016\/j.neucom.2020.04.104_b0195","doi-asserted-by":"crossref","unstructured":"D.P. Li, C.L. P. Chen, Y.J. Liu, S.C. Tong, Neural network controller design for a class of nonlinear delayed systems with time-varying full-state constraints, IEEE Trans. Neural Networks Learn. Systems, to be published, DOI: 10.1109\/TNNLS.2018.2886023, 2019.","DOI":"10.1109\/TNNLS.2018.2886023"},{"issue":"11","key":"10.1016\/j.neucom.2020.04.104_b0200","doi-asserted-by":"crossref","first-page":"2511","DOI":"10.1016\/j.automatica.2011.08.044","article-title":"Control of nonlinear systems with time-varying output constraints","volume":"47","author":"Tee","year":"2011","journal-title":"Automatica"},{"key":"10.1016\/j.neucom.2020.04.104_b0205","series-title":"Proceedings of the 2010 American Control Conference","first-page":"1695","article-title":"Non-equilibrium transient trajectory shaping control via multiple Barrier Lyapunov Functions for a class of nonlinear systems","author":"Yan","year":"2010"},{"key":"10.1016\/j.neucom.2020.04.104_b0210","doi-asserted-by":"crossref","first-page":"15271","DOI":"10.1109\/ACCESS.2017.2730222","article-title":"Adaptive control of input delayed uncertain nonlinear systems with time-varying output constraints","volume":"5","author":"Deng","year":"2017","journal-title":"IEEE Access"},{"key":"10.1016\/j.neucom.2020.04.104_b0215","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TCYB.2019.2921057","article-title":"Adaptive reinforcement learning neural network control for uncertain nonlinear system with input saturation","author":"Bai","year":"2019","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.neucom.2020.04.104_b0220","first-page":"1","article-title":"Multigradient recursive reinforcement learning NN control for affine nonlinear systems with unmodeled dynamics","author":"Bai","year":"2019","journal-title":"Int. J. Robust Nonlinear Control"},{"issue":"5","key":"10.1016\/j.neucom.2020.04.104_b0225","doi-asserted-by":"crossref","first-page":"678","DOI":"10.1109\/9.668834","article-title":"Continuous finite-time stabilization of the translational and rotational double integrators","volume":"43","author":"Bhat","year":"1998","journal-title":"IEEE Trans. Autom. Control"},{"issue":"5","key":"10.1016\/j.neucom.2020.04.104_b0230","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1016\/j.automatica.2004.11.036","article-title":"Global finite-time stabilization of a class of uncertain nonlinear systems","volume":"41","author":"Huang","year":"2005","journal-title":"Automatica"},{"issue":"16","key":"10.1016\/j.neucom.2020.04.104_b0235","doi-asserted-by":"crossref","first-page":"2897","DOI":"10.1080\/00207721.2014.880197","article-title":"Global finite-time stabilization of a class of switched nonlinear systems","volume":"46","author":"Liang","year":"2015","journal-title":"Int. J. Syst. Sci."},{"key":"10.1016\/j.neucom.2020.04.104_b0240","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.ins.2017.08.095","article-title":"Adaptive finite-time tracking control of switched nonlinear systems","volume":"421","author":"Wang","year":"2017","journal-title":"Inf. Sci."},{"issue":"3","key":"10.1016\/j.neucom.2020.04.104_b0245","doi-asserted-by":"crossref","first-page":"1207","DOI":"10.1109\/TFUZZ.2017.2717804","article-title":"Finite-time adaptive fuzzy tracking control design for nonlinear systems","volume":"26","author":"Wang","year":"2018","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"7","key":"10.1016\/j.neucom.2020.04.104_b0250","doi-asserted-by":"crossref","first-page":"2536","DOI":"10.1109\/TCYB.2018.2828308","article-title":"Neural networks-based adaptive finite-time fault-tolerant control for a class of strict-feedback switched nonlinear systems","volume":"49","author":"Liu","year":"2019","journal-title":"IEEE Trans. Cybernet."},{"issue":"6","key":"10.1016\/j.neucom.2020.04.104_b0255","doi-asserted-by":"crossref","first-page":"686","DOI":"10.1002\/rnc.1624","article-title":"Attitude stabilization of rigid spacecraft with finite-time convergence","volume":"21","author":"Zhu","year":"2011","journal-title":"Int. J. Robust Nonlinear Control"},{"year":"1952","series-title":"Inequalities","author":"Hardy","key":"10.1016\/j.neucom.2020.04.104_b0260"},{"issue":"8","key":"10.1016\/j.neucom.2020.04.104_b0265","doi-asserted-by":"crossref","first-page":"1339","DOI":"10.1109\/TNN.2010.2047115","article-title":"Adaptive neural control for output feedback nonlinear systems using a barrier Lyapunov function","volume":"21","author":"Ren","year":"2010","journal-title":"IEEE Trans. Neural Networks"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S092523122030744X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S092523122030744X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2022,10,23]],"date-time":"2022-10-23T08:40:13Z","timestamp":1666514413000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S092523122030744X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8]]},"references-count":53,"alternative-id":["S092523122030744X"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2020.04.104","relation":{},"ISSN":["0925-2312"],"issn-type":[{"type":"print","value":"0925-2312"}],"subject":[],"published":{"date-parts":[[2020,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Adaptive NN-based finite-time tracking control for wheeled mobile robots with time-varying full state constraints","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2020.04.104","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}