|Table of Contents|

Adaptive Backstepping Neural Network Algorithm of Ship Line-course Control

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2012年03期
Page:
427-431
Research Field:
Publishing date:

Info

Title:
Adaptive Backstepping Neural Network Algorithm of Ship Line-course Control
Author(s):
DUAN Hai-qingSUN Hong-fang
College of Automation,Harbin Engineering University,Harbin 150001,China
Keywords:
ship course control backstepping method radial basis function neural network nonlinear systems
PACS:
TP273
DOI:
-
Abstract:
In order to solve the control problem of nonlinear systems with uncertainties,a radial basis function(RBF)neural network(RBFNN)method for ship course control is studied here.A three-order nonlinear model with uncertain parameters is established.A controller design strategy based on the RBFNN estimation is proposed for the parameter uncertainties of the system.The RBFNN approach provides an effective way for controlling nonlinear systems.Simulation results demonstrate the effectiveness of the proposed approach.

References:

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Last Update: 2012-10-12