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- W2891636205 abstract "We present a two-stage method for solving the terrain following (TF)/terrain avoidance (TA) path-planning problem for unmanned combat air vehicles (UCAVs). The 1st stage of planning takes an optimization approach for generating a 2D path on a horizontal plane with no collision with the terrain. In the 2nd stage of planning, an optimal control approach is adopted to generate a 3D flyable path for the UCAV that is as close as possible to the terrain. An approximate dynamic programming (ADP) algorithm is used to solve the optimal control problem in the 2nd stage by training an action network to approximate the optimal solution and training a critical network to approximate the value function. Numerical simulations indicate that ADP can determine the optimal control variables for UCAVs; relative to the conventional optimization method, the optimal control approach with ADP shows a better performance under the same conditions." @default.
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- W2891636205 date "2018-09-05" @default.
- W2891636205 modified "2023-09-23" @default.
- W2891636205 title "A Two-Stage Method for UCAV TF/TA Path Planning Based on Approximate Dynamic Programming" @default.
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- W2891636205 doi "https://doi.org/10.1155/2018/1092092" @default.
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