DocumentCode
416728
Title
Ship´s optimal autopilots using a multivariate auto-regressive exogenous model
Author
Nguyen, Duc-Hung ; Minh-Duc Le
Author_Institution
Australian Maritime Coll., Tas., Australia
Volume
3
fYear
2003
fDate
4-6 Aug. 2003
Firstpage
2641
Abstract
Linear quadratic Gaussian (LQG) control algorithm linked to recursive least squares (RLS) algorithm has been applied to a multivariate auto-regressive exogenous (MARX) model of ships to construct a ship autopilot. It has been found from computer simulation and full-scale experiments aboard a training ship that the autopilot is robust and has good features in both course keeping and course changing.
Keywords
autoregressive processes; control system synthesis; linear quadratic Gaussian control; recursive estimation; robust control; ships; linear quadratic Gaussian control algorithm; multivariate autoregressive exogenous model; recursive least squares algorithm; ship optimal autopilots;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2003 Annual Conference
Conference_Location
Fukui, Japan
Print_ISBN
0-7803-8352-4
Type
conf
Filename
1323666
Link To Document