Swarm Control of UAVs for Cooperative Hunting with DDDAS

Abstract Swarm control is a problem of increasing importance with technological advancements. Recently, governments have begun employing UAVs for reconnaissance, including swarms of drones searching for evasive targets. An agent-based simulation for dynamic cooperative cleaning is augmented with additional behaviors and implemented into a Dynamic Data-Driven Applica- tion System (DDDAS) framework for dynamic swarm control.

[1]  Sonia Martínez,et al.  Coverage control for mobile sensing networks , 2002, IEEE Transactions on Robotics and Automation.

[2]  Thomas Stützle,et al.  Ant colony optimization: artificial ants as a computational intelligence technique , 2006 .

[3]  Greg Welch,et al.  An Introduction to Kalman Filter , 1995, SIGGRAPH 2001.

[4]  Sean Luke,et al.  MASON: A Multiagent Simulation Environment , 2005, Simul..

[5]  Israel A. Wagner,et al.  Swarm robotics for a dynamic cleaning problem , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

[6]  Wei Li,et al.  Demonstrating the Validity of a Wildfire DDDAS , 2006, International Conference on Computational Science.

[7]  Mikolaj Dobski,et al.  A Testbed for Investigating the UAV Swarm Command and Control Problem Using DDDAS , 2013, ICCS.

[8]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[9]  Han Yu,et al.  A New Application of Dynamic Data Driven System in the Talbot-Ogden Model for Groundwater Infiltration , 2012, ICCS.

[10]  H. Michalska,et al.  Receding horizon control of nonlinear systems , 1988, Proceedings of the 28th IEEE Conference on Decision and Control,.

[11]  Israel A. Wagner,et al.  Efficient cooperative search of smart targets using UAV Swarms1 , 2008, Robotica.

[12]  Christian Poellabauer,et al.  Applying DDDAS Principles to Command, Control and Mission Planning for UAV Swarms , 2012, ICCS.

[13]  Eric Bonabeau,et al.  Swarm Intelligence: A New C2 Paradigm with an Application to Control Swarms of UAVs , 2003 .

[14]  Simin Nadjm-Tehrani,et al.  Mobility Models for UAV Group Reconnaissance Applications , 2006, 2006 International Conference on Wireless and Mobile Communications (ICWMC'06).

[15]  Carl W. Hunt,et al.  Agent-Based Modeling for Testing and Designing Novel Decentralized Command and Control System Paradigms , 2003 .

[16]  Frederica Darema,et al.  DDDAS Computational Model and Environments , 2011 .

[17]  S Erol Swarm Robotics: From Sources of Inspiration to Domains of Application , 2005 .

[18]  Yusheng Feng,et al.  Development of a Computational Paradigm for Laser Treatment of Cancer , 2006, International Conference on Computational Science.

[19]  Lavanya Ramakrishnan,et al.  Realization of Dynamically Adaptive Weather Analysis and Forecasting in LEAD: Four Years Down the Road , 2007, International Conference on Computational Science.

[20]  M. Brian Blake,et al.  An Operation-Time Simulation Framework for UAV Swarm Configuration and Mission Planning , 2013, ICCS.

[21]  Gregory R. Madey,et al.  Design and Implementation of An Agent-Based Simulation for Emergency Response and Crisis Management , 2009, SpringSim '09.

[22]  Eric Bonabeau,et al.  Evolving behaviors for a swarm of unmanned air vehicles , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

[23]  Yaniv Altshuler,et al.  Dynamic Cooperative Cleaners — Various Remarks , 2011 .

[24]  Henry Hexmoor,et al.  Swarm Control in Unmanned Aerial Vehicles , 2005, IC-AI.

[25]  Israel A. Wagner,et al.  Cooperative Cleaners: A Study in Ant Robotics , 2008, Int. J. Robotics Res..

[26]  P. Houtekamer,et al.  Data Assimilation Using an Ensemble Kalman Filter Technique , 1998 .

[27]  Izhak Rubin,et al.  A framework and analysis for cooperative search using UAV swarms , 2004, SAC '04.

[28]  S.,et al.  TOWARDS A DYNAMIC DATA DRIVEN SYSTEM FOR RAPID ADAPTIVE INTERDISCIPLINARY OCEAN FORECASTING , 2004 .

[29]  H. Van Dyke Parunak,et al.  Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide , 1998, MABS.

[30]  Frederica Darema,et al.  Dynamic Data Driven Applications Systems: A New Paradigm for Application Simulations and Measurements , 2004, International Conference on Computational Science.