Indefinite Linear Quadratic Optimal Control: Strict Dissipativity and Turnpike Properties. - Julian Berberich; Johannes Köhler 001; Frank Allgöwer; Matthias A. Müller 001 (IEEE Control. Syst. Lett., 2018)

Signal Estimation and System Identification With Nonlinear Dynamic Sensors. - Julian Berberich; Mario Sznaier; Frank Allgöwer (CCTA, 2019)

Data-Driven Tracking MPC for Changing Setpoints. - Julian Berberich; Johannes Köhler 001; Matthias A. Müller 001; Frank Allgöwer (CoRR, 2019)

One-Shot Verification of Dissipativity Properties From Input-Output Data. - Anne Romer; Julian Berberich; Johannes Köhler 001; Frank Allgöwer (IEEE Control. Syst. Lett., 2019)

Robust data-driven state-feedback design. - Julian Berberich; Anne Koch 001; Carsten W. Scherer; Frank Allgöwer (ACC, 2020)

Robust Constraint Satisfaction in Data-Driven MPC. - Julian Berberich; Johannes Köhler 001; Matthias A. Müller 001; Frank Allgöwer (CDC, 2020)

Verifying dissipativity properties from noise-corrupted input-state data. - Anne Koch 001; Julian Berberich; Frank Allgöwer (CDC, 2020)

Robust Dual Control based on Gain Scheduling. - Janani Venkatasubramanian; Johannes Köhler 001; Julian Berberich; Frank Allgöwer (CDC, 2020)

A trajectory-based framework for data-driven system analysis and control. - Julian Berberich; Frank Allgöwer (ECC, 2020)

Dissipativity properties in constrained optimal control: A computational approach. - Julian Berberich; Johannes Köhler 001; Frank Allgöwer; Matthias A. Müller 001 (Autom., 2020)

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

Data-driven analysis and control of continuous-time systems under aperiodic sampling. - Julian Berberich; Stefan Wildhagen; Michael Hertneck; Frank Allgöwer (CoRR, 2020)

Data-Driven Stabilization of Nonlinear Systems with Rational Dynamics. - Robin Strässer; Julian Berberich; Frank Allgöwer (CoRR, 2020)

Data-Based System Analysis and Control of Flat Nonlinear Systems. - Mohammad Alsalti; Julian Berberich; Victor G. Lopez; Frank Allgöwer; Matthias A. Müller 001 (CDC, 2021)

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

Data-Driven Control of Nonlinear Systems: Beyond Polynomial Dynamics. - Robin Strässer; Julian Berberich; Frank Allgöwer (CDC, 2021)

Improved stability conditions for systems under aperiodic sampling: model- and data-based analysis. - Stefan Wildhagen; Julian Berberich; Matthias Hirche; 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)

Data-Driven Controller Design via Finite-Horizon Dissipativity. - Nils Wieler; 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)

Data-driven model predictive control: closed-loop guarantees and experimental results. - Julian Berberich; Johannes Köhler 001; Matthias A. Müller 001; Frank Allgöwer (Autom., 2021)

Determining optimal input-output properties: A data-driven approach. - Anne Koch 001; Julian Berberich; Johannes Köhler 001; Frank Allgöwer (Autom., 2021)

Data-driven estimation of the maximum sampling interval: analysis and controller design for discrete-time systems. - Stefan Wildhagen; Julian Berberich; Michael Hertneck; Frank Allgöwer (CoRR, 2021)

On the design of terminal ingredients for data-driven MPC. - Julian Berberich; Johannes Köhler 001; Matthias A. Müller 001; Frank Allgöwer (CoRR, 2021)

Data-driven Control of Dynamic Event-triggered Systems with Delays. - Xin Wang 003; Jian Sun 003; Julian Berberich; Gang Wang 014; Frank Allgöwer; Jie Chen 003 (CoRR, 2021)

Data-Driven Model Predictive Control With Stability and Robustness Guarantees. - Julian Berberich; Johannes Köhler 001; Matthias A. Müller 001; Frank Allgöwer (IEEE Trans. Autom. Control., 2021)

Stability in data-driven MPC: an inherent robustness perspective. - Julian Berberich; Johannes Köhler 001; Matthias Albrecht Müller; Frank Allgöwer (CDC, 2022)

State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs? - Johannes Köhler 001; Kim Peter Wabersich; Julian Berberich; Melanie N. Zeilinger (CDC, 2022)

Data-Driven Predictive Disturbance Observer for Quasi Continuum Manipulators. - Daniel Müller; Justinus Feilhauer; Jennifer Wickert; Julian Berberich; Frank Allgöwer; Oliver Sawodny (CDC, 2022)

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

Data-Driven Control of Event- and Self-Triggered Discrete-Time Systems. - Xin Wang 003; Julian Berberich; Jian Sun 003; Gang Wang 014; Frank Allgöwer; Jie Chen 003 (CoRR, 2022)

Data-driven distributed MPC of dynamically coupled linear systems. - Matthias Hirche; Julian Berberich; Matthias A. Müller 001; Frank Allgöwer (CoRR, 2022)

A novel constraint tightening approach for robust data-driven predictive control. - Christian Klöppelt; Julian Berberich; Frank Allgöwer; Matthias A. Müller 001 (CoRR, 2022)

Practical exponential stability of a robust data-driven nonlinear predictive control scheme. - Mohammad Alsalti; Victor G. Lopez; Julian Berberich; Frank Allgöwer; Matthias A. Müller 001 (CoRR, 2022)

Data-driven Nonlinear Predictive Control for Feedback Linearizable Systems. - Mohammad Alsalti; Victor G. Lopez; Julian Berberich; Frank Allgöwer; Matthias A. Müller 001 (CoRR, 2022)

Linear Data-Driven Economic MPC with Generalized Terminal Constraint. - Yifan Xie; Julian Berberich; Frank Allgöwer (CoRR, 2022)

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

Linear Tracking MPC for Nonlinear Systems - Part I: The Model-Based Case. - Julian Berberich; Johannes Köhler 001; Matthias A. Müller 001; Frank Allgöwer (IEEE Trans. Autom. Control., 2022)

Linear Tracking MPC for Nonlinear Systems - Part II: The Data-Driven Case. - Julian Berberich; Johannes Köhler 001; Matthias A. Müller 001; Frank Allgöwer (IEEE Trans. Autom. Control., 2022)

Provably Robust Verification of Dissipativity Properties from Data. - Anne Koch 001; Julian Berberich; Frank Allgöwer (IEEE Trans. Autom. Control., 2022)

A quantitative and constructive proof of Willems' Fundamental Lemma and its implications. - Julian Berberich; Andrea Iannelli; Alberto Padoan; Jeremy Coulson; Florian Dörfler; Frank Allgöwer (ACC, 2023)

Control of Bilinear Systems Using Gain-Scheduling: Stability and Performance Guarantees. - Robin Strässer; Julian Berberich; Frank Allgöwer (CDC, 2023)

Robustness of quantum algorithms against coherent control errors. - Julian Berberich; Daniel Fink; Christian Holm (CoRR, 2023)

Robust data-driven control for nonlinear systems using the Koopman operator. - Robin Strässer; Julian Berberich; Frank Allgöwer (CoRR, 2023)

Quantum computing through the lens of control: A tutorial introduction. - Julian Berberich; Daniel Fink (CoRR, 2023)

A Linear Parameter-Varying Approach to Data Predictive Control. - Chris Verhoek; Julian Berberich; Sofie Haesaert; Roland Tóth; Hossam S. Abbas (CoRR, 2023)

Training robust and generalizable quantum models. - Julian Berberich; Daniel Fink; Daniel Pranjic; Christian Tutschku; Christian Holm (CoRR, 2023)

Robust Stability Analysis of a Simple Data-Driven Model Predictive Control Approach. - Joscha Bongard; Julian Berberich; Johannes Köhler 001; Frank Allgöwer (IEEE Trans. Autom. Control., 2023)

Data-Driven Analysis and Controller Design for Discrete-Time Systems Under Aperiodic Sampling. - Stefan Wildhagen; Julian Berberich; Michael Hertneck; Frank Allgöwer (IEEE Trans. Autom. Control., 2023)

Combining Prior Knowledge and Data for Robust Controller Design. - Julian Berberich; Carsten W. Scherer; Frank Allgöwer (IEEE Trans. Autom. Control., 2023)

Model-Based and Data-Driven Control of Event- and Self-Triggered Discrete-Time Linear Systems. - Xin Wang 003; Julian Berberich; Jian Sun 003; Gang Wang 014; Frank Allgöwer; Jie Chen 003 (IEEE Trans. Cybern., 2023)

Data-Based Control of Feedback Linearizable Systems. - Mohammad Alsalti; Victor G. Lopez; Julian Berberich; Frank Allgöwer; Matthias A. Müller 001 (IEEE Trans. Autom. Control., 2023)

Data-Driven Min-Max MPC for Linear Systems. - Yifan Xie; Julian Berberich; Frank Allgöwer (ACC, 2024)

Bringing Quantum Systems under Control: A Tutorial Invitation to Quantum Computing and Its Relation to Bilinear Control Systems. - Julian Berberich; Robert L. Kosut; Thomas Schulte-Herbrüggen (CDC, 2024)

Data-driven MPC with terminal conditions in the Koopman framework. - Karl Worthmann; Robin Strässer; Manuel Schaller; Julian Berberich; Frank Allgöwer (CDC, 2024)

Using Quantum Computers In Control: Interval Matrix Properties. - Jan Schneider; Julian Berberich (ECC, 2024)

SafEDMD: A certified learning architecture tailored to data-driven control of nonlinear dynamical systems. - Robin Strässer; Manuel Schaller; Karl Worthmann; Julian Berberich; Frank Allgöwer (CoRR, 2024)

Data-Driven Min-Max MPC for Linear Systems: Robustness and Adaptation. - Yifan Xie; Julian Berberich; Frank Allgöwer (CoRR, 2024)

Adaptive tracking MPC for nonlinear systems via online linear system identification. - Tatiana Strelnikova; Johannes Köhler 001; Julian Berberich (CoRR, 2024)

Robustness of optimal quantum annealing protocols. - Niklas Funcke; Julian Berberich (CoRR, 2024)

Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization. - Nico Meyer; Julian Berberich; Christopher Mutschler; Daniel D. Scherer (CoRR, 2024)

Koopman-based control using sum-of-squares optimization: Improved stability guarantees and data efficiency. - Robin Strässer; Julian Berberich; Frank Allgöwer (CoRR, 2024)

Data-Driven Min-Max MPC for LPV Systems with Unknown Scheduling Signal. - Yifan Xie; Julian Berberich; Felix Brändle; Frank Allgöwer (CoRR, 2024)

Event-Triggered Control Based on Integral Quadratic Constraints. - Michael Hertneck; Simon Lang; Julian Berberich; Frank Allgöwer (IEEE Control. Syst. Lett., 2024)

Data-Driven Dissipativity Analysis of Linear Parameter-Varying Systems. - Chris Verhoek; Julian Berberich; Sofie Haesaert; Frank Allgöwer; Roland Tóth (IEEE Trans. Autom. Control., 2024)

An Overview of Systems-Theoretic Guarantees in Data-Driven Model Predictive Control. - Julian Berberich; Frank Allgöwer (Annu. Rev. Control. Robotics Auton. Syst., 2025)

Kernel-Based Error Bounds of Bilinear Koopman Surrogate Models for Nonlinear Data-Driven Control. - Robin Strässer; Manuel Schaller; Julian Berberich; Karl Worthmann; Frank Allgöwer (IEEE Control. Syst. Lett., 2025)

Koopman-Based Feedback Design With Stability Guarantees. - Robin Strässer; Manuel Schaller; Karl Worthmann; Julian Berberich; Frank Allgöwer (IEEE Trans. Autom. Control., 2025)

Sequential Learning and Control: Targeted Exploration for Robust Performance. - Janani Venkatasubramanian; Johannes Köhler 001; Julian Berberich; Frank Allgöwer (IEEE Trans. Autom. Control., 2025)

Bilinear Data-Driven Min-Max MPC: Designing Rational Controllers via Sum-of-squares Optimization. - Yifan Xie; Julian Berberich; Robin Strässer; Frank Allgöwer (CoRR, 2025)

Data-driven and learning-based control - perspectives and prospects. - Timm Faulwasser; Annika Eichler; Julian Berberich (Autom., 2025)

Koopman-based control of nonlinear systems with closed-loop guarantees. - Robin Strässer; Julian Berberich; Manuel Schaller; Karl Worthmann; Frank Allgöwer (Autom., 2025)

The interplay of robustness and generalization in quantum machine learning. - Julian Berberich; Tobias Fellner; Christian Holm (CoRR, 2025)

Robust feedback-based quantum optimization: analysis of coherent control errors. - Mirko Legnini; Julian Berberich (CoRR, 2025)