Ship's optimal autopilots using a multivariate auto-regressive exogenous model

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 trainin...

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Bibliographic Details
Published inSICE 2003 Annual Conference (IEEE Cat. No.03TH8734) Vol. 3; pp. 2641 - 2646 Vol.3
Main Authors Due-Hung Nguyen, Minh-Duc Le
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Algorithm design and analysis
Australia
Automatic control
Computer simulation
Control theory
Design methodology
Marine vehicles
Optimal control
Resonance light scattering
Robustness
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Summary: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.
ISBN:0780383524
9780780383524