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MATLAB implementation of UAV (unmanned aerial vehicle) control simulation, with RRT (rapidly exploring random tree) for path planning, B-Spline for trajectory generation and LP (linear programming) for trajectory optimization.

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Logan-Shi/UAV-motion-control

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Usage

- BSpline_demo.m trajectory generation demo
- PD_control_BSpline_demo.m flight demo

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Reference

Dong, W., Ding, Y., Huang, J., Zhu, X., & Ding, H. (2017). An efficient approach of time-optimal trajectory generation for the fully autonomous navigation of the quadrotor. Journal of Dynamic Systems, Measurement, and Control, 139(6), 061012.

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MATLAB implementation of UAV (unmanned aerial vehicle) control simulation, with RRT (rapidly exploring random tree) for path planning, B-Spline for trajectory generation and LP (linear programming) for trajectory optimization.

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