Alberto De Marchi M.Sc.

Alberto De Marchi M.Sc.
Professur für Ingenieur-Mathematik (Prof. Gerdts)
Gebäude 41/300, Zimmer 2307
+49 89 6004-3404
alberto.demarchi@unibw.de

Alberto De Marchi M.Sc.



ABOUT

I am a Doctoral Student under the supervision of Prof. Matthias Gerdts. I have been working as a Research Assistant within the Engineering Mathematics group since May 2017.

I am interested in numerical methods and algorithms for optimal control and model-predictive control. My current research focuses on proximal methods for constrained nonsmooth optimization. Also, I am curious about how people came to be curious.

Education

MSc, Mechatronics Engineering, University of Trento (IT), 2014-2016.

BSc, Industrial Engineering, University of Trento (IT), 2011-2014.


PUBLICATIONS

PREPRINTS

Constrained and Sparse Switching Times Optimization via Augmented Lagrangian Proximal Methods, A. De Marchi, PDF, 2019.

2019

On the Mixed-Integer Linear-Quadratic Optimal Control With Switching Cost, A. De Marchi, IEEE Control Systems LettersPDF.

Free finite horizon LQR: A bilevel perspective and its application to model predictive control, A. De Marchi and M. Gerdts, Automatica, PDF.

An Iterative Method for Final Time Optimization in Nonlinear Optimal Control, A. De Marchi, M. Gerdts, 2019 Proceedings of the Conference on Control and its Applications, PDF.

Nonsmooth Newton’s Method: Some Structure Exploitation, A. De Marchi, M. Gerdts, International Conference on Computational Science, PDF.

2018

An Iterative Solution Approach for a Bi-level Optimization Problem for Congestion Avoidance on Road Networks, A. Britzelmeier, A. De Marchi, M. Gerdts, in Numerical Methods for Optimal Control Problems, PDF.

Traffic Flow on Single-Lane Road Networks: Multiscale Modelling and Simulation, A. De Marchi, M. Gerdts, IFAC-PapersOnLine, PDF.

2016

Optimal Control of a Laser Source to Generate a Minimum Time Trajectory of a Droplet in a Liquid Layer, F. Biral, E. Bertolazzi, P. Bosetti, A. De Marchi, M. M. Hanczyc, 2016 Future Technologies Conference, PDF.


Last update: 16.11.2019