TY - GEN
T1 - Identification of ship steering dynamics based on ACA-SVR
AU - Liu, Sheng
AU - Song, Jia
AU - Li, Bing
AU - Li, Gao Yun
PY - 2008
Y1 - 2008
N2 - According to the high-order nonlinearity and parameter uncertainty of the ship steering dynamics, it is difficult to establish the accurate mathematical model by using normal identification methods. To solve this problem, a new kind of Support Vector Regression based on the Ant Colony Algorithm (ACA-SVR) is proposed. This method can select the parameters of SVR automatically without trial and error, thus ensure the accuracy of parameters optimization. Applying this method in the model identification of the ship steering dynamics, and comparing the identification effect with the experimental reference data. The SVR obtained by this method is able to establish the system model effectively, the structure is simple and generalization ability is well.
AB - According to the high-order nonlinearity and parameter uncertainty of the ship steering dynamics, it is difficult to establish the accurate mathematical model by using normal identification methods. To solve this problem, a new kind of Support Vector Regression based on the Ant Colony Algorithm (ACA-SVR) is proposed. This method can select the parameters of SVR automatically without trial and error, thus ensure the accuracy of parameters optimization. Applying this method in the model identification of the ship steering dynamics, and comparing the identification effect with the experimental reference data. The SVR obtained by this method is able to establish the system model effectively, the structure is simple and generalization ability is well.
KW - Ant Colony Algorithm
KW - Nonlinear System Identification
KW - Ship Maneuvering
KW - Support Vector Regression
UR - https://www.scopus.com/pages/publications/64949193271
U2 - 10.1109/ICMA.2008.4798809
DO - 10.1109/ICMA.2008.4798809
M3 - 会议稿件
AN - SCOPUS:64949193271
SN - 9781424426324
T3 - Proceedings of 2008 IEEE International Conference on Mechatronics and Automation, ICMA 2008
SP - 514
EP - 519
BT - Proceedings of 2008 IEEE International Conference on Mechatronics and Automation, ICMA 2008
T2 - 2008 IEEE International Conference on Mechatronics and Automation, ICMA 2008
Y2 - 5 August 2008 through 8 August 2008
ER -