Symbolic Regression for Marine Vehicles Identification
Created by W.Langdon from
gp-bibliography.bib Revision:1.7764
- @Article{MorenoSalinas:2015:IFAC-PapersOnLine,
-
author = "D. Moreno-Salinas and E. Besada-Portas and
J. A. Lopez-Orozco and D. Chaos and J. M. {de la Cruz} and
J. Aranda",
-
title = "Symbolic Regression for Marine Vehicles
Identification",
-
journal = "IFAC-PapersOnLine",
-
volume = "48",
-
number = "16",
-
pages = "210--216",
-
year = "2015",
-
note = "10th IFAC Conference on Manoeuvring and Control of
Marine Craft MCMC 2015, Copenhagen, 24-26 August 2015",
-
keywords = "genetic algorithms, genetic programming, Autonomous
vehicles, marine systems, identification, symbolic
regression",
-
ISSN = "2405-8963",
-
DOI = "
doi:10.1016/j.ifacol.2015.10.282",
-
URL = "
http://www.sciencedirect.com/science/article/pii/S2405896315021734",
-
abstract = "The mathematical models used in simulation must be
reliable and trustworthy enough to describe the real
systems with an appropriate accuracy. This simulation
process is specially important in marine environment
due to the changing environmental conditions, to the
cost of the infrastructure needed to carry out tests,
and to the need of calibration, deployment and recovery
of the marine systems. If a reliable mathematical model
of the vehicle is available, a part of the experimental
tests can be avoided. In this paper we present a system
identification technique based on genetic programming,
the symbolic regression, to be applied on marine
systems. In this sense, we show that it is possible to
obtain a mathematical model of a ship for control
purposes without the need of describing or knowing the
model structure in advance, i.e., the identification
itself provides the model structure that better
describes the system. Thus, we can define a reliable
black-box model that is computed in a simple way and
where no many experimental data are needed. The model
obtained is tested with additional data and manoeuvres
to show its good performance and prediction ability.",
- }
Genetic Programming entries for
D Moreno-Salinas
E Besada-Portas
J A Lopez-Orozco
D Chaos
Jesus Manuel de la Cruz
J Aranda
Citations