DocumentCode :
677654
Title :
Investigations of DDDAS for command and control of UAV swarms with agent-based modeling
Author :
McCune, Ryan ; Purta, Rachael ; Dobski, Mikolaj ; Jaworski, Artur ; Madey, Greg ; Madey, Alexander ; Yi Wei ; Blake, M. Brian
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, Notre Dame, IN, USA
fYear :
2013
fDate :
8-11 Dec. 2013
Firstpage :
1467
Lastpage :
1478
Abstract :
The application of Dynamic Data Driven Application Systems (DDDAS) to the command and control of swarms of Unmanned Aerial Vehicles (UAVs) is being investigated. Swarm intelligent systems are not only efficient at solving group-level problems, but also decentralized, controllable by few simple parameters, making possible the command and control of UAV swarms by a single operator. Four separate but related projects are surveyed that explore the command and control of UAV swarms. Each project employs the DDDAS paradigm, entailing the ability of an executing application to incorporate dynamic data into the decision process, and conversely, to steer the measurement process via a central application system. By providing an overview of DDDAS approaches to UAV swarm mission scheduling, UAV swarm communication, UAV swarm formation planning, and flocking applications, general principles of UAV swarms and DDDAS architecture may be observed.
Keywords :
autonomous aerial vehicles; command and control systems; control engineering computing; decision making; digital simulation; multi-robot systems; path planning; scheduling; swarm intelligence; DDDAS; UAV swarm communication; UAV swarm formation planning; UAV swarm mission scheduling; UAV swarms; agent-based modeling; command and control; decision process; dynamic data driven application systems; group-level problems; measurement process; swarm intelligent systems; unmanned aerial vehicles; Command and control systems; Data models; Graphical user interfaces; Mathematical model; Particle swarm optimization; Planning; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), 2013 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-2077-8
Type :
conf
DOI :
10.1109/WSC.2013.6721531
Filename :
6721531
Link To Document :
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