Abstract
A combined modular model is presented for planar ship motion prediction by assembling parametric and non-parametric forecasting method. This parametric module and non-parametric module represent the holistic and local time-varying dynamics of system, respectively. The nonlinear auto-regressive with exogenous input model is implemented for on-line prediction, and variable-structure radial basis function network is employed to represent the time-varying dynamics of system. The experiment of planar ship motion prediction is conducted and the results demonstrate the accuracy and robustness of the presented combined model.
This work is supported by the National Natural Science Foundation of China (Grant Nos.: 50979060 and 51061130548).
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References
Fossen, T.I.: A Guidance and Control of Ocean Vehicles. John Wiley, New York (1994)
Haykin, S.: Neural Networks: A Comprehensive Foundation. Prentice Hall, New Jersey (1998)
Vigneshwaran, S., Sundararajan, N., Saratchandran, P.: Direction of Arrival (DoA) Estimation under Array Sensor Failures Using a Minimal Resource Allocation Neural Network. IEEE Trans. Antennas and Propagation 55(2), 334–343 (2007)
Carney, J., Cunningham, P.: Tuning Diversity in Bagged Ensembles. Int. J. Neur. Sys. 10, 267–280 (2000)
Kuntcheva, L.: Combining Pattern Classifiers—Methods and Algorithms. Wiley, New York (2004)
Ma, J., Li, G.B.: Time Series Prediction of Ship Rolling. Beijing Inst. Mach. 21(1), 4–7 (2006)
Yin, J.C., Hu, J.Q., He, Q.H.: Variable Structure Radial Basis Function Network and Its Application to On-Line Chaotic Time Series Prediction. Pattern Recognition Artif. Intel. 23(6), 874–879 (2010)
Yin, J.C., Wang, L.D., Wang, N.N.: A Variable-Structure Gradient RBF Network with its Application to Predictive Ship Motion Control. Asian J. Control (in Press), doi:10.1002/asjc.343
Billings, S.A., Wei, H.L., Balikhin, M.A.: Generalized Multiscale Radial Basis Function Networks. Neur. Netw. 20, 1081–1094 (2007)
Luo, W.L., Zou, Z.J.: Identification of Response Models of Ship Maneuvering Motion Using Support Vector Machines. Ship Mech. 11(6), 832–838 (2007)
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© 2011 Springer-Verlag Berlin Heidelberg
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Yin, J., Zou, Z. (2011). A Combined Modular Parametric and Non-parametric Method for Planar Ship Motion’s On-Line Prediction. In: Tan, H. (eds) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25899-2_3
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DOI: https://doi.org/10.1007/978-3-642-25899-2_3
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