Optimal design of excitation signal for identification of nonlinear ship manoeuvring model
Optimal design of excitation signal for identification of nonlinear ship manoeuvring model
复制标题
非线性船舶操纵模型辨识激励信号优化设计
DOI:
10.1016/j.oceaneng.2019.106778
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发表时间:
2020-01
影响因子:
5
通讯作者:
Zao-Jian Zou
中科院分区:
文献类型:
--
作者:
Zi-Hao Wang;Carlos GuedesSoares;Zao-Jian Zou
An optimal design scheme of excitation signals is presented to determine the training data that provides the maximum dynamic information to improve the stability and accuracy of the identification of ship manoeuvring models. A multi-level pseudo-random sequence is selected as the optimized object for covering the maximum nonlinear dynamic characteristics. The amount of information is quantified by the D-optimality criterion, and the optimal solution is calculated by the ant colony optimization algorithm. Monte Carlo analysis and generalization validation are conducted to evaluate the optimized signals. The superiority of the optimized excitation signal is demonstrated by comparing with the widely used zigzag manoeuvre signal. In the presence of noise interference, the application of the optimized training data reduces the variance of parameter estimation and improves the generalization ability of the identified model, especially for the surge equation.
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DOI:
10.1007/978-3-642-01020-0_2
发表时间:
2009-04
期刊:
--
影响因子:
--
作者:
T. Stützle
通讯作者:
T. Stützle
DOI:
10.1007/978-1-4899-7687-1_22
发表时间:
2017
期刊:
--
影响因子:
--
作者:
Marco Dorigo;M. Birattari
通讯作者:
Marco Dorigo;M. Birattari
DOI:
10.1145/2001858.2002122
发表时间:
2011-07
期刊:
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
影响因子:
--
作者:
Marco Dorigo;M. Birattari
通讯作者:
Marco Dorigo;M. Birattari
影响因子:
4.1
作者:
L. Perera;P. Oliveira;C. Guedes Soares
通讯作者:
L. Perera;P. Oliveira;C. Guedes Soares
DOI:
10.1007/978-3-540-39930-8_5
发表时间:
2004
期刊:
--
影响因子:
--
作者:
V. Maniezzo;L. Gambardella;Fabio de Luigi
通讯作者:
V. Maniezzo;L. Gambardella;Fabio de Luigi