Julian Berberich

According to our database1, Julian Berberich authored at least 26 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Data-Driven Model Predictive Control With Stability and Robustness Guarantees.
IEEE Trans. Autom. Control., 2021

Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers.
CoRR, 2021

Improved stability conditions for systems under aperiodic sampling: model- and data-based analysis.
CoRR, 2021

Data-Based System Analysis and Control of Flat Nonlinear Systems.
CoRR, 2021

Robust stability analysis of a simple data-driven model predictive control approach.
CoRR, 2021

Data-Driven Controller Design via Finite-Horizon Dissipativity.
CoRR, 2021

On the design of terminal ingredients for data-driven MPC.
CoRR, 2021

Data-driven estimation of the maximum sampling interval: analysis and controller design for discrete-time systems.
CoRR, 2021

Offset-free setpoint tracking using neural network controllers.
CoRR, 2020

Data-Driven Stabilization of Nonlinear Systems with Rational Dynamics.
CoRR, 2020

Data-driven analysis and control of continuous-time systems under aperiodic sampling.
CoRR, 2020

Combining Prior Knowledge and Data for Robust Controller Design.
CoRR, 2020

Provably robust verification of dissipativity properties from data.
CoRR, 2020

Robust and optimal predictive control of the COVID-19 outbreak.
CoRR, 2020

Training robust neural networks using Lipschitz bounds.
CoRR, 2020

Determining optimal input-output properties: A data-driven approach.
CoRR, 2020

Dissipativity properties in constrained optimal control: A computational approach.
Autom., 2020

A trajectory-based framework for data-driven system analysis and control.
Proceedings of the 18th European Control Conference, 2020

Robust Dual Control based on Gain Scheduling.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Verifying dissipativity properties from noise-corrupted input-state data.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Robust Constraint Satisfaction in Data-Driven MPC.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Robust data-driven state-feedback design.
Proceedings of the 2020 American Control Conference, 2020

One-Shot Verification of Dissipativity Properties From Input-Output Data.
IEEE Control. Syst. Lett., 2019

Data-Driven Tracking MPC for Changing Setpoints.
CoRR, 2019

Signal Estimation and System Identification With Nonlinear Dynamic Sensors.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

Indefinite Linear Quadratic Optimal Control: Strict Dissipativity and Turnpike Properties.
IEEE Control. Syst. Lett., 2018