Abstract
The problem being addressed is how to best find and engage an unknown number of targets in unknown locations (some moving) using multiple autonomous wide area search munitions. In this research cooperative behavior is being investigated to improve the overall mission effectiveness. A computer simulation was used to emulate the behavior of autonomous wide area search munitions and measure their overall expected performance. This code was modified to incorporate the capability for cooperative engagement based on a parameterized decision rule. Using Design of Experiments (DOE) and Response Surface Methodologies (RSM), the simulation was run to achieve optimal decision rule parameters for given scenarios and to determine the sensitivities of those parameters to the precision of the Autonomous Target Recognition (ATR) algorithm, lethality and guidance precision of the warhead, and the characteristics of the battlefield.
The views expressed in this article are those of the authors and do not reflect the official policy or position of the United States Air Force, Department of Defense, or the US Government.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Arkin, R.C. “Cooperation Without Communication: Multiagent Schema-Based Robot Navigation,” Journal of Robotic Systems, 9(3):351–364 (1992).
Asama. “Distributed Autonomous Robotic System Configured With Multiple Agents and Its Cooperative Behaviors,” Journal of Robotics and Mechatronics, 4(3):199–204 (1992).
Box, G.E.P. and N.R. Draper. Empirical Model-Building and Response Surfaces Applied Probabality and Statistics, New York: John Wiley and Sons, 1987.
Derringer, G. and R. Suich. “Simultaneous Optimization of Several Response Variables,” Journal of Quality Technology, 12:214–219 (1980).
Dorigo, M. “Ant Colony Optimization.” http://iridia.ulb.ac.be/mdorigo/ACO/ACO.html, October 2000.
Frelinger, David, et al. Proliferated Autonomous Weapons; An Example of Cooperative Behavior Technical Report, RAND, 1998.
Jacques, David R. and Robert Leblanc. “Effectiveness Analysis for Wide Area Search Munitions,” American Institute of Aeronautics and Astronautics, Missile Sciences Conference, 1(1):1 (1998 1998). Monterey, CA.
Kube, Ronald C. and Hong Zhang. “Collective Robots: From Social Insects to Robots,” Adaptive Behavior, 2(2):189–218
Kwok, Kwan S. and Brian J. Driessen. “Cooperative Target Convergence Using Multiple Agents,” SPIE, 3209:67–75 (1997).
Myers, Raymond H. and Douglas C. Montgomery. Response Surface Methodology: Process and Product Optimization Using Designed Experiment. Wiley Series in Probability and Statistics, New York: Wiley-Interscience, 1995.
Reynolds, C.W. “Flocks, Herds, and Schools,” Computer Graphics, 21(4):25–34(July 1987).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Kluwer Academic Publishers
About this chapter
Cite this chapter
Gillen, D.P., Jacques, D.R. (2002). Cooperative Behavior Schemes for Improving The Effectiveness of Autonomous Wide Area Search Munitions. In: Murphey, R., Pardalos, P.M. (eds) Cooperative Control and Optimization. Applied Optimization, vol 66. Springer, Boston, MA. https://doi.org/10.1007/0-306-47536-7_6
Download citation
DOI: https://doi.org/10.1007/0-306-47536-7_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4020-0549-7
Online ISBN: 978-0-306-47536-8
eBook Packages: Springer Book Archive