@Article{CruzRios:1985:SoDeAu,
author = "Cruz, Jos{\'e} Jaime and Rios Neto, Atair",
title = "Software development for automatic ship steering in the presence
of dynamical model uncertainties",
journal = "Autom{\'a}tica",
year = "1985",
volume = "21",
number = "4",
pages = "25",
keywords = "ENGENHARIA E TECNOLOGIA ESPACIAL, guidance and control of dynamics
systems, ship automatic pilot, adaptive stochastic control.",
abstract = "The application of stochastic control concepts is considered in
the development of software for automatic ship steering. The
Separation Principle is taken so as to separately treat estimation
and control problems. Extended Kalman filter is used in a
situation where divergence problems could be particulary acute
because of system dynamics modeling uncertainties. To avoid this,
in the estimator model the uncertain unmodeled accelerations are
approximated by first-order Gauss-Markov processes whose states
are estimated together with the original system state variables.
The control objective, primarily related to restricted waters
operation, is to steer the ship along a prescribed geometrical
path by using the rudder as the control element. For the control
problem, a stepwise type control function approximation is taken
and procedure is considered which makes its solution formally
identical to a parameter vector estimation in presence of noise.",
issn = "0005-1098",
label = "11398",
urlaccessdate = "13 maio 2024"
}