Motion Camouflage in a Stochastic Setting
Abstract:
Recent work has formulated 2- and 3-dimensional models and steering control laws for motion camouflage, a stealthy pursuit strategy observed in nature. Here we extend the model to encompass the use of a high-gain pursuit law in the presence of sensor noise as well as in the case when the evaders steering is driven by a stochastic process, demonstrating in the planar setting that motion camouflage is still accessible in the mean in finite time. We also discuss a family of admissible stochastic evader controls, laying out the groundwork for a future game-theoretic study of optimal evasion strategies.
Security Markings
DOCUMENT & CONTEXTUAL SUMMARY
Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.
RECORD
Collection: TR