Patricia Pauli

Research Assistant
Institute for Systems Theory and Automatic Control


+49 711 685-66305
+49 711 685-67735

Pfaffenwaldring 9
70569 Stuttgart
Room: 3.234


Control theory is a well-established field whereas Machine Learning has gained popularity only recently. I am interested in using the experience in control theory to find guarantees for ML tools, especially I am looking at the robustness of Neural Networks.

J. Köhler, L. Schwenkel, A. Koch, J. Berberich, P. Pauli, F. Allgöwer. Robust and optimal predictive control of the COVID-19 outbreak. In Annual Reviews in Control, 2020, submitted. [preprint]

P. Pauli, A. Koch, J. Berberich, F. Allgöwer. Training robust neural networks using Lipschitz bounds. In 59th IEEE Conference on Decision and Control (CDC), 2020 (submitted). [preprint]

P. Pauli, A. Koch, F. Allgöwer. Smartphone Apps for Learning Progress and Course Revision. IFAC World Congress 2020, (accepted). [preprint]

A. Koch, M. Lorenzen, P. Pauli, F. Allgöwer. Facilitating learning progress in a first control course via Matlab Apps. IFAC World Congress 2020, (accepted). [preprint]

P. Pauli, S. M. Dibaji, A. M. Annaswamy, A. Chakrabortty. Optimal Delay Assignment for Delay-Aware Control of Cyber-Physical Systems: A Machine Learning Approach. In 58th IEEE Conference on Decision and Control (CDC), 2019. [online avaliable] 

R. Henriquez-Auba, P. Pauli, D. Kalathil, D.S. Callaway, K. Poolla. The Sharing Economy for Residential Solar Generation. In 57th IEEE Conference on Decision and Control (CDC), 2018. [online available]


seit 05/2019

Research Assistant at the Institute for Systems Theory and Automatic Control, University of Stuttgart

10/2015 − 04/2019

Master studies in Mechanical Engineering and Computational Engineering at Technical University of Darmstadt

Master thesis: "Learning-based Optimization of Delay-Aware Control Designs for Wide-Area Oscillation Damping in Power Systems" at the Active-Adative Control Laboratory at Massachusetts Institute of Technology.

07/2017 − 09/2017

Intership at Diesel Gasoline Systems, Robert Bosch GmbH, Feuerbach

Topic: Parameter Identification for Sensor Models

08/2016 - 05/2017

Exchange Year at University of California, Berkeley

10/2012 − 09/2015

Bachelor studies in Mechanical Engineering at Technical University of Darmstadt

Bachelor thesis: "Numerical and Experimental Investigations on a bistable Energy Harvester" at Dynamics and Vibrations Group at Technical University of Darmstadt

09/2014 - 01/2015

Erasmus at Universidad Politécnica de Madrid

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