{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T15:48:15Z","timestamp":1775749695754,"version":"3.50.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2020,3,16]],"date-time":"2020-03-16T00:00:00Z","timestamp":1584316800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,3,16]],"date-time":"2020-03-16T00:00:00Z","timestamp":1584316800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci. China Inf. Sci."],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1007\/s11432-019-2679-5","type":"journal-article","created":{"date-parts":[[2020,3,22]],"date-time":"2020-03-22T17:02:41Z","timestamp":1584896561000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Event-triggered neural network control of autonomous surface vehicles over wireless network"],"prefix":"10.1007","volume":"63","author":[{"given":"Mingao","family":"Lv","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhouhua","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoliang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,3,16]]},"reference":[{"key":"2679_CR1","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1109\/MCS.2015.2495095","volume":"36","author":"T I Fossen","year":"2016","unstructured":"Fossen T I. Handbook of marine craft hydrodynamics and motion control. IEEE Control Syst, 2016, 36: 78\u201379","journal-title":"IEEE Control Syst"},{"key":"2679_CR2","doi-asserted-by":"publisher","first-page":"750","DOI":"10.1109\/TCST.2006.872507","volume":"14","author":"K P Tee","year":"2006","unstructured":"Tee K P, Ge S S. Control of fully actuated ocean surface vessels using a class of feedforward approximators. IEEE Trans Contr Syst Technol, 2006, 14: 750\u2013756","journal-title":"IEEE Trans Contr Syst Technol"},{"key":"2679_CR3","doi-asserted-by":"publisher","first-page":"070203","DOI":"10.1007\/s11432-016-9091-8","volume":"60","author":"L Liu","year":"2017","unstructured":"Liu L, Wang D, Peng Z H, et al. Saturated coordinated control of multiple underactuated unmanned surface vehicles over a closed curve. Sci China Inf Sci, 2017, 60: 070203","journal-title":"Sci China Inf Sci"},{"key":"2679_CR4","doi-asserted-by":"publisher","first-page":"4237","DOI":"10.1109\/TIE.2017.2758743","volume":"65","author":"S L Dai","year":"2018","unstructured":"Dai S L, He S D, Lin H, et al. Platoon formation control with prescribed performance guarantees for USVs. IEEE Trans Ind Electron, 2018, 65: 4237\u20134246","journal-title":"IEEE Trans Ind Electron"},{"key":"2679_CR5","doi-asserted-by":"publisher","first-page":"092210","DOI":"10.1007\/s11432-015-5384-9","volume":"59","author":"Z H Peng","year":"2016","unstructured":"Peng Z H, Wang D, Li T S. Predictor-based neural dynamic surface control for distributed formation tracking of multiple marine surface vehicles with improved transient performance. Sci China Inf Sci, 2016, 59: 092210","journal-title":"Sci China Inf Sci"},{"key":"2679_CR6","doi-asserted-by":"publisher","first-page":"1420","DOI":"10.1109\/TNN.2002.804289","volume":"13","author":"N Hovakimyan","year":"2002","unstructured":"Hovakimyan N, Nardi F, Calise A, et al. Adaptive output feedback control of uncertain nonlinear systems using single-hidden-layer neural networks. IEEE Trans Neural Netw, 2002, 13: 1420\u20131431","journal-title":"IEEE Trans Neural Netw"},{"key":"2679_CR7","doi-asserted-by":"publisher","first-page":"3831","DOI":"10.1109\/TIE.2017.2652346","volume":"64","author":"Z H Peng","year":"2017","unstructured":"Peng Z H, Wang J, Wang D. Distributed containment maneuvering of multiple marine vessels via neurodynamics-based output feedback. IEEE Trans Ind Electron, 2017, 64: 3831\u20133839","journal-title":"IEEE Trans Ind Electron"},{"key":"2679_CR8","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1002\/acs.2366","volume":"28","author":"S L Dai","year":"2014","unstructured":"Dai S L, Wang M, Wang C, et al. Learning from adaptive neural network output feedback control of uncertain ocean surface ship dynamics. Int J Adapt Control Signal Process, 2014, 28: 341\u2013365","journal-title":"Int J Adapt Control Signal Process"},{"key":"2679_CR9","doi-asserted-by":"publisher","unstructured":"Dai S L, He S D, Wang M, et al. Adaptive neural control of underactuated surface vessels with prescribed performance guarantees. IEEE Trans Neural Netw Learn Syst, 2018. doi: https:\/\/doi.org\/10.1109\/TNNLS.2018.2876685","DOI":"10.1109\/TNNLS.2018.2876685"},{"key":"2679_CR10","doi-asserted-by":"publisher","first-page":"1536","DOI":"10.1109\/TCST.2013.2281211","volume":"22","author":"Z Zhao","year":"2014","unstructured":"Zhao Z, He W, Ge S S. Adaptive neural network control of a fully actuated marine surface vessel with multiple output constraints. IEEE Trans Contr Syst Technol, 2014, 22: 1536\u20131543","journal-title":"IEEE Trans Contr Syst Technol"},{"key":"2679_CR11","doi-asserted-by":"publisher","first-page":"112201","DOI":"10.1007\/s11432-017-9363-y","volume":"61","author":"M Abdelatti","year":"2018","unstructured":"Abdelatti M, Yuan C Z, Zeng W, et al. Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators. Sci China Inf Sci, 2018, 61: 112201","journal-title":"Sci China Inf Sci"},{"key":"2679_CR12","doi-asserted-by":"publisher","first-page":"1210","DOI":"10.1109\/TMECH.2015.2508647","volume":"21","author":"Z H Peng","year":"2016","unstructured":"Peng Z H, Wang D, Wang J. Cooperative dynamic positioning of multiple marine offshore vessels: a modular design. IEEE\/ASME Trans Mechatron, 2016, 21: 1210\u20131221","journal-title":"IEEE\/ASME Trans Mechatron"},{"key":"2679_CR13","doi-asserted-by":"publisher","first-page":"2564","DOI":"10.1109\/TMECH.2017.2756110","volume":"22","author":"Z Zheng","year":"2017","unstructured":"Zheng Z, Feroskhan M. Path following of a surface vessel with prescribed performance in the presence of input saturation and external disturbances. IEEE\/ASME Trans Mechatron, 2017, 22: 2564\u20132575","journal-title":"IEEE\/ASME Trans Mechatron"},{"key":"2679_CR14","doi-asserted-by":"publisher","first-page":"8724","DOI":"10.1109\/TIE.2018.2885726","volume":"66","author":"Z H Peng","year":"2019","unstructured":"Peng Z H, Wang J, Han Q L. Path-following control of autonomous underwater vehicles subject to velocity and input constraints via neurodynamic optimization. IEEE Trans Ind Electron, 2019, 66: 8724\u20138732","journal-title":"IEEE Trans Ind Electron"},{"key":"2679_CR15","doi-asserted-by":"publisher","first-page":"050212","DOI":"10.1007\/s11432-018-9683-y","volume":"62","author":"R S Xia","year":"2019","unstructured":"Xia R S, Wu Q X, Chen M. Disturbance observer-based optimal longitudinal trajectory control of near space vehicle. Sci China Inf Sci, 2019, 62: 050212","journal-title":"Sci China Inf Sci"},{"key":"2679_CR16","doi-asserted-by":"publisher","first-page":"4004","DOI":"10.1109\/TIE.2008.2005933","volume":"55","author":"H Ashrafiuon","year":"2008","unstructured":"Ashrafiuon H, Muske K R, McNinch L C, et al. Sliding-mode tracking control of surface vessels. IEEE Trans Ind Electron, 2008, 55: 4004\u20134012","journal-title":"IEEE Trans Ind Electron"},{"key":"2679_CR17","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.oceaneng.2016.06.041","volume":"123","author":"R X Cui","year":"2016","unstructured":"Cui R X, Zhang X, Cui D. Adaptive sliding-mode attitude control for autonomous underwater vehicles with input nonlinearities. Ocean Eng, 2016, 123: 45\u201354","journal-title":"Ocean Eng"},{"key":"2679_CR18","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.isatra.2017.09.008","volume":"71","author":"X B Xiang","year":"2017","unstructured":"Xiang X B, Liu C, Su H S, et al. On decentralized adaptive full-order sliding mode control of multiple UAVs. ISA Trans, 2017, 71: 196\u2013205","journal-title":"ISA Trans"},{"key":"2679_CR19","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1016\/j.asoc.2003.05.001","volume":"3","author":"Y S Yang","year":"2003","unstructured":"Yang Y S, Zhou C J, Ren J S. Model reference adaptive robust fuzzy control for ship steering autopilot with uncertain nonlinear systems. Appl Soft Comput, 2003, 3: 305\u2013316","journal-title":"Appl Soft Comput"},{"key":"2679_CR20","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/j.cor.2016.09.017","volume":"84","author":"X B Xiang","year":"2017","unstructured":"Xiang X B, Yu C Y, Zhang Q. Robust fuzzy 3D path following for autonomous underwater vehicle subject to uncertainties. Comput Oper Res, 2017, 84: 165\u2013177","journal-title":"Comput Oper Res"},{"key":"2679_CR21","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TAC.2008.2008350","volume":"54","author":"Z Y Chen","year":"2009","unstructured":"Chen Z Y, Huang J. Attitude tracking and disturbance rejection of rigid spacecraft by adaptive control. IEEE Trans Automat Contr, 2009, 54: 600\u2013605","journal-title":"IEEE Trans Automat Contr"},{"key":"2679_CR22","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1016\/j.automatica.2004.10.006","volume":"41","author":"R Skjetne","year":"2005","unstructured":"Skjetne R, Fossen T I, Kokotovi\u0107 P V. Adaptive maneuvering, with experiments, for a model ship in a marine control laboratory. Automatica, 2005, 41: 289\u2013298","journal-title":"Automatica"},{"key":"2679_CR23","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1007\/s40815-018-0592-2","volume":"21","author":"H D Qin","year":"2019","unstructured":"Qin H D, Chen H, Sun Y C, et al. The distributed adaptive finite-time chattering reduction containment control for multiple ocean bottom flying nodes. Int J Fuzzy Syst, 2019, 21: 607\u2013619","journal-title":"Int J Fuzzy Syst"},{"key":"2679_CR24","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1002\/acs.2462","volume":"29","author":"Z Y Chen","year":"2015","unstructured":"Chen Z Y. A novel adaptive control approach for nonlinearly parameterized systems. Int J Adapt Control Signal Process, 2015, 29: 81\u201398","journal-title":"Int J Adapt Control Signal Process"},{"key":"2679_CR25","doi-asserted-by":"publisher","first-page":"074501","DOI":"10.1115\/1.4035094","volume":"139","author":"A Albattat","year":"2017","unstructured":"Albattat A, Gruenwald B, Yucelen T. Design and analysis of adaptive control systems over wireless networks. J Dynamic Syst Measurement Control, 2017, 139: 074501","journal-title":"J Dynamic Syst Measurement Control"},{"key":"2679_CR26","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1109\/TNNLS.2015.2416259","volume":"27","author":"A Sahoo","year":"2016","unstructured":"Sahoo A, Xu H, Jagannathan S. Neural network-based event-triggered state feedback control of nonlinear continuous-time systems. IEEE Trans Neural Netw Learn Syst, 2016, 27: 497\u2013509","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"2679_CR27","doi-asserted-by":"publisher","first-page":"1297","DOI":"10.3390\/s16081297","volume":"16","author":"A Albattat","year":"2016","unstructured":"Albattat A, Gruenwald B C, Yucelen T. On event-triggered adaptive architectures for decentralized and distributed control of large-scale modular systems. Sensors, 2016, 16: 1297","journal-title":"Sensors"},{"key":"2679_CR28","doi-asserted-by":"publisher","first-page":"1507","DOI":"10.1016\/j.automatica.2014.03.015","volume":"50","author":"H P Li","year":"2014","unstructured":"Li H P, Shi Y. Event-triggered robust model predictive control of continuous-time nonlinear systems. Automatica, 2014, 50: 1507\u20131513","journal-title":"Automatica"},{"key":"2679_CR29","doi-asserted-by":"publisher","first-page":"698","DOI":"10.1016\/j.automatica.2012.11.025","volume":"49","author":"W P M H Heemels","year":"2013","unstructured":"Heemels W P M H, Donkers M C F. Model-based periodic event-triggered control for linear systems. Automatica, 2013, 49: 698\u2013711","journal-title":"Automatica"},{"key":"2679_CR30","doi-asserted-by":"publisher","first-page":"1567","DOI":"10.1109\/TCYB.2017.2707590","volume":"48","author":"W Y Xu","year":"2018","unstructured":"Xu W Y, Wang Z D, Ho D W C. Finite-horizon H\u221e consensus for multiagent systems with redundant channels via an observer-type event-triggered scheme. IEEE Trans Cybern, 2018, 48: 1567\u20131576","journal-title":"IEEE Trans Cybern"},{"key":"2679_CR31","doi-asserted-by":"publisher","first-page":"1243","DOI":"10.1080\/00207179.2013.873952","volume":"87","author":"Z Q Zhang","year":"2014","unstructured":"Zhang Z Q, Hao F, Zhang L, et al. Consensus of linear multi-agent systems via event-triggered control. Int J Control, 2014, 87: 1243\u20131251","journal-title":"Int J Control"},{"key":"2679_CR32","doi-asserted-by":"publisher","first-page":"2334","DOI":"10.1109\/TCYB.2016.2571122","volume":"47","author":"W Y Xu","year":"2017","unstructured":"Xu W Y, Chen G R, Ho D W C. A layered event-triggered consensus scheme. IEEE Trans Cybern, 2017, 47: 2334\u20132340","journal-title":"IEEE Trans Cybern"},{"key":"2679_CR33","doi-asserted-by":"publisher","first-page":"3627","DOI":"10.1109\/TIE.2018.2856180","volume":"66","author":"Z H Peng","year":"2019","unstructured":"Peng Z H, Wang J S, Wang J. Constrained control of autonomous underwater vehicles based on command optimization and disturbance estimation. IEEE Trans Ind Electron, 2019, 66: 3627\u20133635","journal-title":"IEEE Trans Ind Electron"},{"key":"2679_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/00207179.2014.898188","volume":"47","author":"M Harmouche","year":"2014","unstructured":"Harmouche M, Laghrouche S, Chitour Y. Global tracking for underactuated ships with bounded feedback controllers. Int J Control, 2014, 47: 1\u20139","journal-title":"Int J Control"},{"key":"2679_CR35","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s11071-014-1277-5","volume":"77","author":"H Wang","year":"2014","unstructured":"Wang H, Wang D, Peng Z H. Adaptive dynamic surface control for cooperative path following of marine surface vehicles with input saturation. Nonlin Dyn, 2014, 77: 107\u2013117","journal-title":"Nonlin Dyn"},{"key":"2679_CR36","doi-asserted-by":"publisher","first-page":"3504","DOI":"10.1080\/00207721.2017.1381889","volume":"48","author":"Z W Zheng","year":"2017","unstructured":"Zheng Z W, Sun L. Error-constrained path-following control for a stratospheric airship with actuator saturation and disturbances. Int J Syst Sci, 2017, 48: 3504\u20133521","journal-title":"Int J Syst Sci"},{"key":"2679_CR37","doi-asserted-by":"publisher","first-page":"1851","DOI":"10.1109\/TCST.2017.2728518","volume":"26","author":"Z W Zheng","year":"2018","unstructured":"Zheng Z W, Huang Y T, Xie L H, et al. Adaptive trajectory tracking control of a fully actuated surface vessel with asymmetrically constrained input and output. IEEE Trans Contr Syst Technol, 2018, 26: 1851\u20131859","journal-title":"IEEE Trans Contr Syst Technol"},{"key":"2679_CR38","unstructured":"Lavretsky E, Gibson T E. Projection operator in adaptive systems. 2011. ArXiv: 1112.4232"},{"key":"2679_CR39","volume-title":"Nonlinear and Adaptive Control Design","author":"M Krstic","year":"1995","unstructured":"Krstic M, Kokotovic P V, Kanellakopoulos I. Nonlinear and Adaptive Control Design. New York: John Wiley & Sons, 1995"}],"container-title":["Science China Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-019-2679-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11432-019-2679-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-019-2679-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,16]],"date-time":"2021-03-16T00:38:17Z","timestamp":1615855097000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11432-019-2679-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,16]]},"references-count":39,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2020,5]]}},"alternative-id":["2679"],"URL":"https:\/\/doi.org\/10.1007\/s11432-019-2679-5","relation":{},"ISSN":["1674-733X","1869-1919"],"issn-type":[{"value":"1674-733X","type":"print"},{"value":"1869-1919","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3,16]]},"assertion":[{"value":"10 May 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 September 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 March 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"150205"}}