Please use this identifier to cite or link to this item:
https://doi.org/10.1109/FUZZY.2011.6007453
DC Field | Value | |
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dc.title | An adaptive type-2 fuzzy logic controller for dynamic positioning | |
dc.contributor.author | Chen, X.T. | |
dc.contributor.author | Tan, W.W. | |
dc.date.accessioned | 2014-06-19T02:58:48Z | |
dc.date.available | 2014-06-19T02:58:48Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Chen, 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.isbn | 9781424473175 | |
dc.identifier.issn | 10987584 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/69274 | |
dc.description.abstract | This 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.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/FUZZY.2011.6007453 | |
dc.source | Scopus | |
dc.subject | Adaptive control | |
dc.subject | dynamic positioning | |
dc.subject | function approximation | |
dc.subject | type-2 fuzzy logic system | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1109/FUZZY.2011.6007453 | |
dc.description.sourcetitle | IEEE International Conference on Fuzzy Systems | |
dc.description.page | 2147-2154 | |
dc.description.coden | PIFSF | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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