Adaptive fuzzy logic with self-adjusting membership functions based tracking control of surface vessels
Tracking control of surface vessels is aimed where the dynamical model includes uncertainties. In an attempt to design a broadly applicable control methodology, a model independent strategy is pursued. The dynamical uncertainties are modeled via a fuzzy logic network. In the design of the controller, proportional derivative feedback was made use of in conjunction with self-adjusting fuzzy logic compensation term obtained by adaptively updating control representative value matrix along with centers and widths of the membership value vector. Stability of the closed loop system is investigated through novel Lyapunov-based arguments and semi-global practical tracking is guaranteed. Numerical simulation studies are performed that support theoretical findings and demonstrate the effectiveness of the proposed method.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00298018
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Supplemental Notes:
- © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Tatlicioglu, Enver
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0000-0001-5623-9975
- Yilmaz, Bayram Melih
- Savran, Aydogan
- Alci, Musa
- Publication Date: 2022-6-1
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: 111129
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Serial:
- Ocean Engineering
- Volume: 253
- Issue Number: 0
- Publisher: Pergamon
- ISSN: 0029-8018
- EISSN: 1873-5258
- Serial URL: http://www.sciencedirect.com/science/journal/00298018
Subject/Index Terms
- TRT Terms: Adaptive control; Fuzzy controllers; Fuzzy logic; Ships; Tracking systems
- Subject Areas: Marine Transportation; Vehicles and Equipment;
Filing Info
- Accession Number: 01855408
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 22 2022 4:14PM