Please use this identifier to cite or link to this item: https://doi.org/10.1109/CCA.2007.4389317
Title: Adaptive neural network control for marine shafting system using dynamic surface control
Authors: Tao, P.Y.
Ge, S.S. 
Lee, T.H. 
Issue Date: 2007
Source: Tao, P.Y.,Ge, S.S.,Lee, T.H. (2007). Adaptive neural network control for marine shafting system using dynamic surface control. Proceedings of the IEEE International Conference on Control Applications : 717-722. ScholarBank@NUS Repository. https://doi.org/10.1109/CCA.2007.4389317
Abstract: In this paper, we consider the problem of tracking a desired propeller shaft speed while simultaneously minimizing torsional vibrations within the shafting system, in the presence of parametric/functional uncertainties. Neural networks are utilized to compensate for the functional uncertainties in the system model. Under the proposed control, semiglobal uniform boundedness of the closed loop signals is guaranteed, and the number and size of neural networks required are significantly reduced. © 2007 IEEE.
Source Title: Proceedings of the IEEE International Conference on Control Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/69197
ISBN: 1424404436
DOI: 10.1109/CCA.2007.4389317
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