A Hybrid Approach for Designing the Control System for Underwater Vehicles View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2009

AUTHORS

A. Lamas , F. López Peña , R. J. Duro

ABSTRACT

An approach in the form of an automatic evolutionary design environment for obtaining any type of control systems for underwater vehicles is presented. A specific case is considered in which this strategy is hybridized with Artificial Neural Networks. The design procedure is carried out by means of evolutionary techniques from a set of specifications using as a fitness evaluator an ad-hoc hydrodynamic simulator which includes the estimation of added mass and added inertia coefficients. The resulting design environment was used to construct the neural network based controllers of a submersible catamaran. Results of the application of the automatic design procedure and of the operation of the controllers thus obtained are presented. More... »

PAGES

88-95

Book

TITLE

Hybrid Artificial Intelligence Systems

ISBN

978-3-642-02318-7
978-3-642-02319-4

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-02319-4_11

DOI

http://dx.doi.org/10.1007/978-3-642-02319-4_11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1018216581


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