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dc.contributor.authorDu, Jialu
dc.contributor.authorAbraham, Ajith
dc.contributor.authorYu, Shuanghe
dc.contributor.authorZhao, Jie
dc.date.accessioned2014-02-10T10:06:30Z
dc.date.available2014-02-10T10:06:30Z
dc.date.issued2014
dc.identifier.citationEngineering Applications of Artificial Intelligence. 2014, vol. 27, p. 236-240.cs
dc.identifier.issn0952-1976
dc.identifier.urihttp://hdl.handle.net/10084/101678
dc.description.abstractCombining dynamic surface control and Nussbaum gain function with backstepping algorithm, a novel adaptive nonlinear control strategy is proposed for the nonlinear course control problem of ships with parameter uncertainties and completely unknown control coefficient. Dynamic surface control is incorporated into backstepping technique to overcome the problem of its inherent “explosion of terms” so that the control law is simpler and easier to implement in engineering. Nussbaum function is used to deal with the unknown sign of uncertain control coefficient and the possible controller singularity problem. By means of Lyapunov function and the lemma of Nussbaum function, it is proved theoretically that the designed adaptive nonlinear control law can force the actual course of ships to converge to and keep at the desired course of ships, while guarantee the global uniform boundedness of all signals of the resulting closed-loop control system. The effectiveness of the proposed scheme is demonstrated through the simulations involving two ships.cs
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesEngineering Applications of Artificial Intelligencecs
dc.relation.urihttp://dx.doi.org/10.1016/j.engappai.2013.08.013cs
dc.rightsCopyright © 2013 Elsevier Ltd. All rights reserved.cs
dc.subjectcourse-keeping of shipscs
dc.subjectbackstepping algorithmcs
dc.subjectdynamic surface controlcs
dc.subjectnussbaum gaincs
dc.titleAdaptive dynamic surface control with Nussbaum gain for course-keeping of shipscs
dc.typearticlecs
dc.identifier.doi10.1016/j.engappai.2013.08.013
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume27cs
dc.description.lastpage240cs
dc.description.firstpage236cs
dc.identifier.wos000328725600020


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