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- W2612076298 abstract "To design robust computer-based autopilot systems that adapt well to changes in environment, a marine control designer should construct a suitable mathematical model representing ship steering dynamics and apply an appropriate control law. In this paper, 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 characteristics in both course keeping and course changing." @default.
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- W2612076298 date "2004-08-01" @default.
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- W2612076298 title "An optimal ship autopilot using a multivariate auto-regressive exogenous model" @default.
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- W2612076298 doi "https://doi.org/10.1016/s1474-6670(17)31487-8" @default.
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