The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Robust Adaptive Position Mooring Control for Marine Vessels
Abstract
In this paper, robust adaptive control with dynamic control allocation is proposed for the positioning of marine vessels equipped with a thruster assisted mooring system, in the presence of parametric uncertainties, unknown disturbances and input nonlinearities. Using neural network approximation and variable structure based techniques in combination with backstepping and Lyapunov synthesis, the positioning control is developed to handle the uncertainties, input saturation and dead-zone characteristics of the mooring lines and thrusters. Full state feedback with all states measurable and output feedback using high gain observer to estimate unmeasurable states are considered. Dynamic control allocation is presented for actuation of the position mooring system. Under the proposed robust adaptive control, semi-global uniform boundedness of the closed-loop signals are guaranteed. Numerical simulations are carried out to show the effectiveness of the proposed control.
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Cites
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
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Marine Control Systems Guidance, Navigation, and Control of Ships, Rigs and Underwater Vehicles
Fossen, T. I. (2002) · Cited by 1,540
Stable Adaptive Neural Network Control
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Self-citationAdaptive tracking control of uncertain MIMO nonlinear systems with input constraints
Chen, M., Ge, S. S., & Ren, B. (2011) · Automatica · doi:10.1016/j.automatica.2011.01.025 · Cited by 1,056
Self-citationAdaptive dynamic surface control of nonlinear systems with unknown dead zone in pure feedback form
Zhang, T. P., & Ge, S. S. (2008) · Automatica · doi:10.1016/j.automatica.2007.11.025 · Cited by 752
Self-citationChen, M., Ge, S. S., & How, B. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2042611 · Cited by 732
Self-citationZhang, T. P., & Ge, S. S. (2007) · Automatica · doi:10.1016/j.automatica.2006.12.014 · Cited by 508
Self-citationAdaptive Output Control of Nonlinear Systems With Uncertain Dead-Zone Nonlinearity
Zhou, J., Wen, C., & Zhang, Y. (2006) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2005.864200 · Cited by 425
Control of fully actuated ocean surface vessels using a class of feedforward approximators
Tee, K. P., & Ge, S. S. (2006) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2006.872507 · Cited by 337
Self-citationNeural-network control of nonaffine nonlinear system with zero dynamics by state and output feedback
Ge, S. S., & Zhang, J. (2003) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2003.813823 · Cited by 312
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Unmanned surface vehicles: An overview of developments and challenges
Liu, Z., Zhang, Y., Yu, X., & Yuan, C. (2016) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2016.04.018 · Cited by 1,235
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Peng, Z., Wang, J., Wang, D., & Han, Q.-L. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3004343 · Cited by 757
Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System
Chen, M., Shi, P., & Lim, C.-C. (2016) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2015.2426140 · Cited by 414
Self-citationPeng, Z., Wang, J., & Wang, D. (2018) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2017.2699167 · Cited by 382
Finite-Time Adaptive Control for a Class of Nonlinear Systems With Nonstrict Feedback Structure
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Metadata
- Authors
- Chen, M., Ge, S. S., How, B. V. E., & Choo, Y. S.
- Venue
- IEEE Transactions on Control Systems Technology
- Published
- 2013-03
- Volume
- 21
- Issue
- 2
- Pages
- 395-409
- ISSN
- 1063-6536 (ISSN-L)
- 1558-0865
- OpenAlex
- W2094437443
- Cited by
- 263
- References
- 14
- FWCI
- 21.79
- Type
- journal article
- Language
- en
- Open access
- closed
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