Dieses Bild zeigt Patricia Pauli

Patricia Pauli

Frau M.Sc.

Wissenschaftliche Mitarbeiterin
Institut für Systemtheorie und Regelungstechnik

Kontakt

+49 711 685 66305
+49 711 685 67735

Pfaffenwaldring 9
70569 Stuttgart
Deutschland
Raum: 3.234

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Fachgebiet

Die Regelungstechnik ist ein etabliertes Gebiet, wohingegen Machine Learning erst in den letzten Jahren an Popularität gewonnen hat. Ich bin daran interessiert, die Erfahrung in Regelungstechnik zu nutzen, um Garantien für ML-Methoden nachzuweisen, vor allem schaue ich mir die Robustheit von Neuronalen Netzen an.

P. Pauli, A. Havens, A. Araujo, S. Garg, F. Khorrami, F. Allgöwer, B. Hu. Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations, In International Conference on Learning Representations (ICLR), to appear, 2024. [preprint]

P. Pauli, R. Wang, I. R. Manchester, F. Allgöwer. Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian, In 62nd IEEE Conference on Decision and Control (CDC), 2023. [preprint] 

D. Gramlich, P. Pauli, C. W. Scherer, F. Allgöwer, C. Ebenbauer. Convolutional Neural Networks as 2-D systems, 2023. [preprint] 

P. Pauli, D. Gramlich, F. Allgöwer. Lipschitz constant estimation for 1D convolutional neural networks, 2022. [preprint] 

P. Pauli, J. Berberich, F. Allgöwer. Robustness analysis and training of recurrent neural networks using dissipativity theory. In at-Automatisierungstechnik, vol. 70, no. 8, 2022, pp. 730-739, doi: 10.1515/auto-2022-0032. [available online] 

P. Pauli, N. Funcke, D. Gramlich, M. A. Msalmi, F. Allgöwer. Neural network training under semidefinite constraints. In 61st IEEE Conference on Decision and Control (CDC), 2022. [available online] 

P. Pauli, D. Gramlich, J. Berberich, F. Allgöwer. Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers. In 60th IEEE Conference on Decision and Control (CDC), 2021. [available online] 

P. Pauli, J. Köhler, J. Berberich, A. Koch, F. Allgöwer. Offset-free setpoint tracking using neural network controllers. In Learning for Dynamics & Control Conference, 2021. [available online]

P. Pauli, A. Koch, J. Berberich, P. Kohler, F. Allgöwer. Training robust neural networks using Lipschitz bounds. In IEEE Control Systems Lett., 2021, doi: 10.1109/LCSYS.2021.11.3050444. [available online]

J. Köhler, L. Schwenkel, A. Koch, J. Berberich, P. Pauli, F. Allgöwer. Robust and optimal predictive control of the COVID-19 outbreak. Annual Reviews in Control, 2020, ISSN 1367-5788, doi: 10.1016/j.arcontrol.2020.11.002. [available online]

P. Pauli, A. Koch, F. Allgöwer. Smartphone Apps for Learning Progress and Course Revision. In Proc. 21st IFAC World Congress, vol. 53, no. 2, Berlin, Germany, 2020, pp. 17368-17373. [available online]

A. Koch, M. Lorenzen, P. Pauli, F. Allgöwer. Facilitating learning progress in a first control course via Matlab Apps. In Proc. 21st IFAC World Congress, vol. 53, no. 2, Berlin, Germany, 2020, pp. 17356-17361. [available online]

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), Nice, France, 2019. [available online] 

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), Miami, FL, USA, 2018. [available online]

seit 05/2019

Wissenschaftliche Mitarbeiterin am Institut für Systemtheorie und Regelungstechnik, Universität Stuttgart

08/2022 − 11/2022

Visiting Research stay at Australian Centre for Field Robotics, University of Sydney

10/2015 − 04/2019

Master in Maschinenbau und Computational Engineering an der Technischen Universität Darmstadt

Masterthesis: "Learning-based Optimization of Delay-Aware Control Designs for Wide-Area Oscillation Damping in Power Systems" im Active-Adative Control Laboratory am Massachusetts Institute of Technology.

07/2017 − 09/2017

Praktikum bei Diesel Gasoline Systems, Robert Bosch GmbH, Feuerbach

Thema: Parameterbestimmung für Sensormodelle

08/2016 - 05/2017

Austauschsemester an der University of California, Berkeley

10/2012 − 09/2015

Bachelor in Maschinenbau an der Technischen Universität Darmstadt

Bachelorthesis: "Numerische and experimentelle Untersuchungen eines bistablen Energy Harvesters" in der Dynamics and Vibrations Group an der Technischen Universität Darmstadt

09/2014 - 01/2015

Erasmus an der Universidad Politécnica de Madrid

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