Beyond Visual Range Tactics

Authors

Eloy Garcia, Air Force Research Laboratory
Dzung M. Trang, Air Force Research Laboratory
Dejan Milutinovic, University of California, Santa Cruz
Meir Pachter, Air Force Institute of TechnologyFollow

Document Type

Conference Proceeding

Publication Date

1-2021

Abstract

Autonomous battle management requires the synthesis of optimal strategies which also consider the adversary’s capabilities. This paper takes a step in this general direction by considering a scenario in the Beyond Visual Range domain where two teams face each other in a representative type of mission. A team of autonomous vehicles tries to launch an attack on the opponent’s valuable asset. A team of air interceptors recognizes the threat and responds by impeding access to the protected asset. A zero-sum differential game is formulated between these two adversaries and saddle-point state-feedback strategies are obtained in this paper which provide the optimal guidance for each vehicle.

Comments

This conference paper is available from AIAA via subscription or purchase through the DOI link below.

Conference Session: Advances in Feedback Control Architectures for Autonomous Systems VII

DOI

10.2514/6.2021-1229

Source Publication

AIAA Scitech 2021 Forum

Recommended Citation

Garcia, Eloy, Dzung M. Tran, David Casbeer, Dejan Milutinovic, and Meir Pachter. “Beyond Visual Range Tactics.” In AIAA Scitech 2021 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2021. https://doi.org/10.2514/6.2021-1229.