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• W1505141421 abstract "This study investigates Unmanned Aerial Vehicle (UAV) motion planning for ground attack missions involving enemy defenses. The UAV dynamics are modelled as a unicycle, linearized using dynamic extension and extended over a finite horizon as a piece-wise affine function. This is then formulated as a constrained, convex optimization problem in the form of Model Predictive Control (MPC) using closed-loop feedback predictions. Avoidance of enemy defenses is achieved using linear inequality constraints. The design is tested in a simulated ground attack scenario involving a layered enemy defense system using MATLAB. Preliminary results demonstrate the feasibility of using MPC to guide a UAV in ground attack missions involving complex enemy defenses." @default.
• W1505141421 created "2016-06-24" @default.
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• W1505141421 date "2015-06-01" @default.
• W1505141421 modified "2023-09-24" @default.
• W1505141421 title "Incorporating feedback predictions for optimized UAV attack mission planning" @default.
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• W1505141421 doi "https://doi.org/10.1109/med.2015.7158834" @default.
• W1505141421 hasPublicationYear "2015" @default.
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