Replication data for "Geography, Trade, and Internal Migration in China"

See the readme file inside for replication step

The results for optimal trajectories planning of the simulation.

<p>The results for optimal trajectories planning of the simulation.</p

Material thickness of random chosen points on the car body.

<p>Material thickness of random chosen points on the car body.</p

The optimal tool trajectories on the car roof.

<p>The optimal tool trajectories on the car roof.</p

The optimal tool trajectories on the car left body.

<p>The optimal tool trajectories on the car left body.</p

Robotic spray painting experiment.

<p>Robotic spray painting experiment.</p

The results for optimal trajectories planning of the experiment.

<p>The results for optimal trajectories planning of the experiment.</p

The optimization trajectory on the free-form surface.

<p>The optimization trajectory on the free-form surface.</p

The grids approximation of a free-form surface.

<p>The grids approximation of a free-form surface.</p

Vision-based trajectory tracking control of quadrotors using super twisting sliding mode control

A trajectory-tracking problem for a vision-based quadrotor control system is investigated in this paper. A super twisting sliding mode (STSM) controller is proposed for finite-time trajectory tracking control. With the help of the homogeneous technique, the closed-loop system is proved to be finite-time stable. In addition, due to the introduction of super twisting mechanism, the controller can restrain chattering effect of sliding mode control. On the other hand, a pose estimation through data fusion is proposed to localise the quadrotor. A Kalman filter (KF) is utilised to fuse the estimated pose from semi-direct monocular visual odometry (SVO) with data from inertial measurement unit (IMU). A number of simulations are carried out on MATLAB and physical engine simulator Gazebo. The results show that the proposed system controller has better performances in terms of robustness and anti-disturbance than the proportional–integral–derivative (PID) controller and the first order sliding mode controller.</p