Defense Against Adversarial Swarms with Parameter Uncertainty

TL;DR

This paper develops a novel optimal control framework to defend high-value targets from large-scale swarm attacks, incorporating parameter uncertainty to derive effective strategies.

Contribution

It introduces a dual problem approach within uncertain parameter optimal control, enabling numerical computation of optimal defense strategies against large swarms.

Findings

Dual problem can be computed numerically

Optimal defender strategies against 100-agent swarm

Framework applicable to large-scale swarm defense

Abstract

This paper addresses the problem of optimal defense of a High Value Unit against a large-scale swarm attack. We show that the problem can be cast in the framework of uncertain parameter optimal control and derive a consistency result for the dual problem of this framework. We show that the dual can be computed numerically and apply these numerical results to derive optimal defender strategies against a 100 agent swarm attack.