Please use this identifier to cite or link to this item: https://doi.org/10.1109/FUZZY.2011.6007453
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dc.titleAn adaptive type-2 fuzzy logic controller for dynamic positioning
dc.contributor.authorChen, X.T.
dc.contributor.authorTan, W.W.
dc.date.accessioned2014-06-19T02:58:48Z
dc.date.available2014-06-19T02:58:48Z
dc.date.issued2011
dc.identifier.citationChen, X.T.,Tan, W.W. (2011). An adaptive type-2 fuzzy logic controller for dynamic positioning. IEEE International Conference on Fuzzy Systems : 2147-2154. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/FUZZY.2011.6007453" target="_blank">https://doi.org/10.1109/FUZZY.2011.6007453</a>
dc.identifier.isbn9781424473175
dc.identifier.issn10987584
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69274
dc.description.abstractThis paper presents an indirect adaptive type-2 fuzzy logic controller (FLC) for dynamic positioning (DP) vessels with attached thrusters under various time-varying hydrodynamic disturbances. Approximation-based adaptive control technique in combination with type-2 fuzzy logic system (FLS) is employed in the design of the control. The stability of the design is demonstrated through Lyapunov analysis where globally asymptotical convergence of the regulation error is guaranteed. Rigorous analysis shows the resultant closed-loop system is passive. The proposed adaptive type-2 FLC is able to reject the hydrodynamic disturbances without exact information on them. Comparative simulations with linear proportional derivative (PD) controller and adaptive type-1 FLC are carried out. The proposed technique is found to be effective, robust, and has better performance. © 2011 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/FUZZY.2011.6007453
dc.sourceScopus
dc.subjectAdaptive control
dc.subjectdynamic positioning
dc.subjectfunction approximation
dc.subjecttype-2 fuzzy logic system
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/FUZZY.2011.6007453
dc.description.sourcetitleIEEE International Conference on Fuzzy Systems
dc.description.page2147-2154
dc.description.codenPIFSF
dc.identifier.isiutNOT_IN_WOS
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