Multi-Agent System Design: for Aerospace Applications - Couverture souple

Waslander, Steven L.

 
9783639098761: Multi-Agent System Design: for Aerospace Applications
Couverture souple
ISBN 10 : 3639098765 ISBN 13 : 9783639098761
Editeur : VDM Verlag Dr. Müller, 2008

Synopsis

Engineering systems with multiple independent decision makers are becoming increasingly prevalent and present many challenging coordination problems. This work investigates two such systems in aerospace engineering: air traffic flow control and autonomous aerial vehicle teams. The air traffic flow control problem is investigated from the point of view of the airlines, which bear the often large costs of flight delays and reroutes made to ensure safe operation in adverse weather conditions. By allowing airlines to be directly involved in traffic flow decision making through resource markets, overall system performance can be improved while safety is ensured by the central authority. Airlines decision making is modeled as cooperative, competitive and strategic, and efficient, equitable mechanisms are designed for each situation. The autonomous aerial vehicle team problem is investigated through the development of the Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control (STARMAC). This world-leading testbed of quadrotor helicopters is used to demonstrate many novel coordination algorithms, including multi-vehicle autonomous conflict resolution.

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Présentation de l'éditeur

Engineering systems with multiple independent decision makers are becoming increasingly prevalent and present many challenging coordination problems. This work investigates two such systems in aerospace engineering: air traffic flow control and autonomous aerial vehicle teams. The air traffic flow control problem is investigated from the point of view of the airlines, which bear the often large costs of flight delays and reroutes made to ensure safe operation in adverse weather conditions. By allowing airlines to be directly involved in traffic flow decision making through resource markets, overall system performance can be improved while safety is ensured by the central authority. Airlines decision making is modeled as cooperative, competitive and strategic, and efficient, equitable mechanisms are designed for each situation. The autonomous aerial vehicle team problem is investigated through the development of the Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control (STARMAC). This world-leading testbed of quadrotor helicopters is used to demonstrate many novel coordination algorithms, including multi-vehicle autonomous conflict resolution.

Biographie de l'auteur

Steven L. Waslander received his B.Sc.E in Applied Mathematics from Queen¿s University in 1998, and his M.S. and Ph.D. in Aeronautics and Astronautics from Stanford University in 2002 and 2007. He is currently an Assistant Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo in Waterloo, ON, Canada.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2008
Langue
anglais
ISBN 10 
3639098765
ISBN 13 
9783639098761
Reliure
Broché
Nombre de pages
196
Coordonnées du fabricant
non disponible
Personne responsable
non disponible