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Model predictive contouring control

2 minute read

Published:

Let us consider kinematics of the racing car

$$\begin{align} x_{t+1} = f_p(x_t, u_t;\zeta_p) = \begin{bmatrix} X_t + \Delta_T v_t \cos \phi_t, \\ Y_t + \Delta_T v_t \sin \phi_t, \\ \phi_t + \Delta_T \omega_t, \\ v_t + \Delta_T \zeta_p a_t, \end{bmatrix} \end{align}$$

where \(\zeta_p \in (0,1]\), \(\Delta_T = 0.05[s]\) is the slipping coefficient which depends position of the racing car in the track (or road). Denote by \(x_t = [X_t, Y_t, \phi_t, v_t]^\top\), \(u_t = [\omega_t, a_t]^\top\) the state of the racing car at current time step \(t\).

Informative Path Planning

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

UAV control

less than 1 minute read

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Electrical Engineering

Undergraduate course, Thuyloi University, Department of Electrical Electronic and Computer Engineering, 2017

Control Systems

Undergraduate course, Thuyloi University, Department of Electrical Electronic and Computer Engineering, 2017

Electrical Engineering

Undergraduate course, Thuyloi University, Department of Electrical Electronic and Computer Engineering, 2017