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Cascade safe formation control for a fleet of underactuated surface vessels using the DCOP approach

Authors :
Rozenfeld, Alejandro Fabian
Ghommam, Jawhar
Picos, Rodrigo
Acosta, Gerardo Gabriel
Ali, Moonis
Bosse, Tibor
Hoogendoorn, Mark
Jonker, Catholijn M.
Treur, Jan
Source :
Contemporary Challenges and Solutions in Applied Artificial Intelligence
Publication Year :
2013
Publisher :
Springer, 2013.

Abstract

This paper considers the formation control of multiple underactuated surface vessel. A distributed cooperative control using the relative information among neighboring vehicles is proposed such that the flock of multiple vehicles forms a desired geometric formation pattern whose center moves along a desired trajectory. In order to guarantee safe flock navigation and interaction of vehicles with the environment, we propose to extend the designed formation tracking controller to more sophisticated algorithm that prevent the vehicles from colliding with environmental obstacles with unknown sizes and locations based on a Decentralized Constrained Optimizing Problem ”DCOP” strategy. Fil: Rozenfeld, Alejandro Fabian. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ingeniería Olavarría. Departamento de Electromecánica. Grupo INTELYMEC; Argentina. Universidad de Las Islas Baleares. Departamento de Fisica; España. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina Fil: Ghommam, Jawhar. No especifíca; Fil: Picos, Rodrigo. Universidad de Las Islas Baleares. Departamento de Fisica; España Fil: Acosta, Gerardo Gabriel. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ingeniería Olavarría. Departamento de Electromecánica. Grupo INTELYMEC; Argentina. Universidad de Las Islas Baleares. Departamento de Fisica; España. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina

Details

Language :
English
Database :
OpenAIRE
Journal :
Contemporary Challenges and Solutions in Applied Artificial Intelligence
Accession number :
edsair.od......3498..956ecd9582deae5a0cae447752c9f720
Full Text :
https://doi.org/10.1007/978-3-319-00651-2_25