Information driven optimal sensor control for efficient target localization and tracking

This paper describes the problem of multiple target tracking and localization using dynamic sensors such as Unmanned Ariel Vehicles. Often the location or path of the target is uncertain and has to be accounted along with UAV fuel costs while optimally planning the dynamic sensor trajectory. The coupled problem of optimal target state estimation and sensor path planning is computationally expensive and at times intractable. In this paper, an iterative sub-optimal control approach is proposed with the intent of a real-time application.