Multi-Agent System Design : for Aerospace Applications

Steven L. Waslander

ISBN 10: 3639098765 / ISBN 13: 9783639098761

Published by VDM Verlag Dr. Müller, 2008

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Engineering systems with multiple independentdecision makers are becoming increasingly prevalentand present many challenging coordination problems. This work investigates two such systems in aerospaceengineering: air traffic flow control and autonomousaerial vehicle teams. The air traffic flow controlproblem is investigated from the point of view of theairlines, which bear the often large costs of flightdelays and reroutes made to ensure safe operation inadverse weather conditions. By allowing airlines tobe directly involved in traffic flow decision makingthrough resource markets, overall system performancecan be improved while safety is ensured by thecentral authority. Airlines decision making ismodeled as cooperative, competitive and strategic,and efficient, equitable mechanisms are designed foreach situation. The autonomous aerial vehicle teamproblem is investigated through the development ofthe Stanford Testbed of Autonomous Rotorcraft forMulti-Agent Control (STARMAC). This world-leadingtestbed of quadrotor helicopters is used todemonstrate many novel coordination algorithms,including multi-vehicle autonomous conflict resolution.

Seller Inventory # 9783639098761

Bibliographic Details

• Title: Multi-Agent System Design : for Aerospace Applications
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2008
• Language: English
• ISBN 10: 3639098765
• ISBN 13: 9783639098761
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 11D millimeters 220 millimeters width by 150 millimeters height by 11 millimeters depth
• Weight: 277 grams

About this title

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.

About the Author

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.