]> 2026-07-09T05:57:50+00:00 Low-Observable Nonlinear Trajectory Generation for Unmanned Air Vehicles 0 en This paper explores low observability flight path planning of unmanned air vehicles (UAVs) in the presence of radar detection systems. The probability of detection model of an aircraft near an enemy radar depends on aircraft attitude, range, and configuration. A detection model is coupled with a simplified aircraft dynamics model. The Nonlinear Trajectory Generation (NTG) software package developed at Caltech is used. The NTG algorithm is a gradient descent optimization method that combines three technologies: Bsplines, output space collocation and nonlinear optimization tools. Implementations are formulated with temporal constraints that allow periods of high observability interspersed with periods of low observability. Illustrative examples of optimized routes for low observability are presented. Kathy Misovec, Tamer Inanc, Jerry Wohletz, Richard Murray 2003b 2003 Conference on Decision and Control (CDC) miwm03-cdc Conference Paper 2016-05-15T06:18:46Z 2457523.7630324 Low-Observable Nonlinear Trajectory Generation for Unmanned Air Vehicles Title 102 en Title