The Sharing Economy for Residential Solar Generation. - Rodrigo Henriquez-Auba; Patricia Pauli; Dileep M. Kalathil; Duncan S. Callaway; Kameshwar Poolla (CDC, 2018)

Optimal Delay Assignment in Delay-Aware Control of Cyber-Physical Systems: A Machine Learning Approach. - Patricia Pauli; Seyed Mehran Dibaji; Anuradha M. Annaswamy; Aranya Chakrabortty (CDC, 2019)

Training robust neural networks using Lipschitz bounds. - Patricia Pauli; Anne Koch 001; Julian Berberich; Frank Allgöwer (CoRR, 2020)

Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers. - Patricia Pauli; Dennis Gramlich; Julian Berberich; Frank Allgöwer (CDC, 2021)

Offset-free setpoint tracking using neural network controllers. - Patricia Pauli; Johannes Köhler 001; Julian Berberich; Anne Koch 001; Frank Allgöwer (L4DC, 2021)

Robust and optimal predictive control of the COVID-19 outbreak. - Johannes Köhler 001; Lukas Schwenkel; Anne Koch 001; Julian Berberich; Patricia Pauli; Frank Allgöwer (Annu. Rev. Control., 2021)

Neural network training under semidefinite constraints. - Patricia Pauli; Niklas Funcke; Dennis Gramlich; Mohamed Amine Msalmi; Frank Allgöwer (CDC, 2022)

Bounding the Difference Between Model Predictive Control and Neural Networks. - Ross Drummond; Stephen Duncan; Matthew C. Turner; Patricia Pauli; Frank Allgöwer (L4DC, 2022)

Robustness analysis and training of recurrent neural networks using dissipativity theory. - Patricia Pauli; Julian Berberich; Frank Allgöwer (Autom., 2022)

Training Robust Neural Networks Using Lipschitz Bounds. - Patricia Pauli; Anne Koch 001; Julian Berberich; Paul Kohler; Frank Allgöwer (IEEE Control. Syst. Lett., 2022)

Lipschitz-Bounded 1D Convolutional Neural Networks using the Cayley Transform and the Controllability Gramian. - Patricia Pauli; Ruigang Wang; Ian R. Manchester; Frank Allgöwer (CDC, 2023)

Lipschitz constant estimation for 1D convolutional neural networks. - Patricia Pauli; Dennis Gramlich; Frank Allgöwer (L4DC, 2023)

Convolutional Neural Networks as 2-D systems. - Dennis Gramlich; Patricia Pauli; Carsten W. Scherer; Frank Allgöwer; Christian Ebenbauer (CoRR, 2023)

Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. - Patricia Pauli; Aaron J. Havens; Alexandre Araujo; Siddharth Garg; Farshad Khorrami; Frank Allgöwer; Bin Hu 002 (ICLR, 2024)

Learning soft constrained MPC value functions: Efficient MPC design and implementation providing stability and safety guarantees. - Nicolas Chatzikiriakos; Kim Peter Wabersich; Felix Berkel; Patricia Pauli; Andrea Iannelli (L4DC, 2024)

State space representations of the Roesser type for convolutional layers. - Patricia Pauli; Dennis Gramlich; Frank Allgöwer (CoRR, 2024)

Lipschitz constant estimation for general neural network architectures using control tools. - Patricia Pauli; Dennis Gramlich; Frank Allgöwer (CoRR, 2024)

LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers. - Patricia Pauli; Ruigang Wang; Ian R. Manchester; Frank Allgöwer (CoRR, 2024)