Adaptive models of pop-up threats for multi-agent persistent area denial

Adversarial ground assets that become observable for short durations are modeled as adaptive Markov chains. Multiple Unmanned Air Vehicles (UAVs) are cooperatively deployed to reach the threats in the shortest time. This paper describes the threat modeling and movement strategies for the UAVs. Simulation experiments indicate that this approach is appropriate for addressing persistent area denial problems.