A Ships Parameter Identification Arithmetic Based on Improved Ant Colony Algorithm

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In this paper, an Improved Ant Colony Algorithm is applied to the identification of the ship motion modelNomotos 1st-order nonlinear model. A robust method based on Ant Colony Algorithm is proposed for the optimization of the continuous function. The transfer criterion of the ants between each layer and global pheromone updating process are described. Some experiments results show that this method has good identification accuracy. The algorithm is feasible and effective, is of enormous significance to the system identification of ship motion.

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3450-3455

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Ljung, L. Convergence analysis of paramentric Identification methods[J]. IEEE Trans. Autom. Contol, 1978, AC-23(5): 770~783.

Google Scholar

[2] Macro Dorigo, Gianni Di Caro, Luca M Gambardella. Ant algorithms for discrete optimization [J]. Artificial Life, 1999, 5(3): 137~172.

DOI: 10.1162/106454699568728

Google Scholar

[3] Thor L Fossen. Guidance and Control of Ocean Vehicles. John Wiley & Sons Inc, (1994).

Google Scholar

[4] Conway B E, Pell W G. Power limitations of supercapacitor operation associated with resistance and capacitance distribution in porous electrode devices[J]. J Power Sources, 2002, 105(1): 169-181.

DOI: 10.1016/s0378-7753(01)00936-3

Google Scholar

[5] ZHANG Xin-guang, ZOU Zao-jian, Identification of Response Models of Ship Manoeuvring Motion Using Support Vector Regression[J]. Journal of ShangHai JiaoTong University, 2011, 45(4): 501-504.

Google Scholar