Here you will find the whole list of guides and tutorials developed by the DyCon ERC Project's research team and visitors. All of the content has been classified according to the project’s Work Packages.

Sincronization of coupled oscillator described by the Kuramoto model, using the Stochastic Conjugate Gradient Method

In this work, we address the optimal control of parameter-dependent systems.

A Matlab guide for the numerical approximation of the exact control and stabilization of the wave equation.

In this short tutorial, we explain how to use Riccati’s theory to solve an LQ control problem with targets.

We want to study the following optimal control problem...

The turnpike property improves the numerical methods used to solve optimal control problems

Using IpOpt to get the time-optimal nonnegative control of a semi-discrete 1D heat equation

How to use IpOpt to solve time optimal control problems

This work is regarding solving 1-d wave equation using RPS semi-discretization method and analysis corresponding dispersion relation.

Various discrete adjoint methodologies are discussed for the inverse design of linear transport equations in 2 space dimensions

Tracking control of 1D scalar conservation laws in the presence of shocks

The aim of this tutorial is to give a numerical method for solving a partial differential equation with a constant delay.

Numerical computation of a stabilizing control

Stabilization of a coupled PDE-ODE system by means of a feedback LQR control.

Guidance by repulsion model describing the behaviour of two agents, a driver and an evader

Various numerical approximation methods are discussed with the aim of recoving the large time asymptotic properties of the hypoelliptic Kolmogorov model

Optimal Control in OpenFOAM

A Multiscale Geometrical Basis for Variational Problems in Mechanics

This tutorial explains how to use the Dirichlet-Neumann method to coordinate the numerical solutions of two linear heat equations with strong jumps in the material coefficients accross a common interface.

The aim of this note is to explain how one can solve an optimal control problem with the moment method