Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/71663
Title: Robust approximation-based control of ocean surface vessels
Authors: Tee, K.P.
Ge, S.S. 
Keywords: Fuzzy
Neural
Nonlinear control
Ocean vessel
Output feedback
Issue Date: 2005
Citation: Tee, K.P.,Ge, S.S. (2005). Robust approximation-based control of ocean surface vessels. Proceedings of the SICE Annual Conference : 763-768. ScholarBank@NUS Repository.
Abstract: In this paper, we consider the problem of tracking a desired trajectory for fully actuated ocean vessels, in the presence of parametric/functional uncertainties, unmodelled dynamics, and/or disturbances from the environment. To compensate for the uncertainties and unknown time-varying disturbances, linearly parameterized adaptive feedforward approximators are used. Using backstepping and Lyapunov synthesis, the stable tracking controller is first designed for the full state feedback case. Subsequently, the output feedback problem is tackled by employing a high gain observer to estimate the unmeasurable states required by the stable tracking controller. It is shown that the designed controller guarantees semiglobal uniform boundedness for both the full state and output feedback cases, provided that the initial conditions are bounded, and that the design parameters satisfy some rather relaxed conditions. © 2005 SICE.
Source Title: Proceedings of the SICE Annual Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/71663
Appears in Collections:Staff Publications

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