Genetic Programming for the Automatic Design of Controllers for a Surface Ship

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{Alfaro-Cid:2008:ieeeITS,

• author = "Eva Alfaro-Cid and Euan W. McGookin and David J. Murray-Smith and Thor I. Fossen",
• title = "Genetic Programming for the Automatic Design of Controllers for a Surface Ship",
• journal = "IEEE Transactions on Intelligent Transportation Systems",
• year = "2008",
• month = jun,
• volume = "9",
• number = "2",
• pages = "311--321",
• keywords = "genetic algorithms, genetic programming, control system synthesis, navigation, propulsion, ships CyberShip II, automatic design, controller structure, navigation controllers, propulsion controllers, supply ship, surface ship",
• ISSN = "1524-9050",
• DOI = "doi:10.1109/TITS.2008.922932",
• URL = "http://results.ref.ac.uk/Submissions/Output/2145080",
• abstract = "In this paper, the implementation of genetic programming (GP) to design a controller structure is assessed. GP is used to evolve control strategies that, given the current and desired state of the propulsion and heading dynamics of a supply ship as inputs, generate the commanded forces required to maneuver the ship. The controllers created using GP are evaluated through computer simulations and real maneuverability tests in a laboratory water basin facility. The robustness of each controller is analyzed through the simulation of environmental disturbances. In addition, GP runs in the presence of disturbances are carried out so that the different controllers obtained can be compared. The particular vessel used in this paper is a scale model of a supply ship called CyberShip II. The results obtained illustrate the benefits of using GP for the automatic design of propulsion and navigation controllers for surface ships.",
• notes = "Also known as \cite{4517335}",
• uk_research_excellence_2014 = "This paper represents the outcome of a Marie Curie funded collaborative project with the Norwegian University of Science and Technology (NUST), and is one of the first studies to use Genetic Programming in the design of marine vehicle control systems. The research involved the optimisation of the structure and associated gains of a control system for guiding a surface vessel. The optimised controller was used on the test vehicle in tank trials and evaluated in the Marine Cybernetics Laboratory at NUST (Contact: Thor Fossen, ), to demonstrate the power of this optimisation method for controller design.",

}

Genetic Programming entries for Eva Alfaro-Cid Euan William McGookin David James Murray-Smith Thor I Fossen

Citations