A Predictive Framework for Adversarial Energy Depletion in Inbound Threat Scenarios

TL;DR

This paper introduces a predictive, optimization-based framework to defend against energy-depleting maneuvers of inbound threats, focusing on strategic interceptor coordination without simulations.

Contribution

It proposes a novel optimization-based approach for interceptors to contain and neutralize maneuverable threats by predicting their energy-depletion strategies.

Findings

Framework effectively predicts threat behavior

Interceptor coordination maintains threat containment

Optimization formulation is implementable without simulations

Abstract

This paper presents a predictive framework for adversarial energy-depletion defense against a maneuverable inbound threat (IT). The IT solves a receding-horizon problem to minimize its own energy while reaching a high-value asset (HVA) and avoiding interceptors and static lethal zones modeled by Gaussian barriers. Expendable interceptors (EIs), coordinated by a central node (CN), maintain proximity to the HVA and patrol centers via radius-based tether costs, deny attack corridors by harassing and containing the IT, and commit to intercept only when a geometric feasibility test is confirmed. No explicit opponent-energy term is used, and the formulation is optimization-implementable. No simulations are included.