Julian Berberich

Christopher Mutschler

Daniel D. Scherer

CoRR, 2024

Data-driven MPC with terminal conditions in the Koopman framework.

[BibT_eX]

[DOI]

CoRR, 2024

Robustness of optimal quantum annealing protocols.

[BibT_eX]

[DOI]

Niklas Funcke

CoRR, 2024

An overview of systems-theoretic guarantees in data-driven model predictive control.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive tracking MPC for nonlinear systems via online linear system identification.

[BibT_eX]

[DOI]

Tatiana Strelnikova

CoRR, 2024

Data-Driven Min-Max MPC for Linear Systems: Robustness and Adaptation.

[BibT_eX]

[DOI]

Yifan Xie

CoRR, 2024

SafEDMD: A certified learning architecture tailored to data-driven control of nonlinear dynamical systems.

[BibT_eX]

[DOI]

CoRR, 2024

Using Quantum Computers In Control: Interval Matrix Properties.

[BibT_eX]

[DOI]

Jan Schneider

Proceedings of the European Control Conference, 2024

Data-Driven Min-Max MPC for Linear Systems.

[BibT_eX]

[DOI]

Yifan Xie

Proceedings of the American Control Conference, 2024

2023

Data-Based Control of Feedback Linearizable Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., November, 2023

Model-Based and Data-Driven Control of Event- and Self-Triggered Discrete-Time Linear Systems.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., September, 2023

Combining Prior Knowledge and Data for Robust Controller Design.

[BibT_eX]

[DOI]

Carsten W. Scherer

IEEE Trans. Autom. Control., August, 2023

Data-Driven Analysis and Controller Design for Discrete-Time Systems Under Aperiodic Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., June, 2023

Robust Stability Analysis of a Simple Data-Driven Model Predictive Control Approach.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., May, 2023

Koopman-based feedback design with stability guarantees.

[BibT_eX]

[DOI]

CoRR, 2023

Training robust and generalizable quantum models.

[BibT_eX]

[DOI]

CoRR, 2023

A Linear Parameter-Varying Approach to Data Predictive Control.

[BibT_eX]

[DOI]

CoRR, 2023

Quantum computing through the lens of control: A tutorial introduction.

[BibT_eX]

[DOI]

Daniel Fink

CoRR, 2023

Robust data-driven control for nonlinear systems using the Koopman operator.

[BibT_eX]

[DOI]

CoRR, 2023

Robustness of quantum algorithms against coherent control errors.

[BibT_eX]

[DOI]

Janani Venkatasubramanian

Daniel Fink

Christian Holm

CoRR, 2023

Sequential learning and control: Targeted exploration for robust performance.

[BibT_eX]

[DOI]

CoRR, 2023

Control of Bilinear Systems Using Gain-Scheduling: Stability and Performance Guarantees.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A quantitative and constructive proof of Willems' Fundamental Lemma and its implications.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2023

2022

Provably Robust Verification of Dissipativity Properties from Data.

[BibT_eX]

[DOI]

Anne Koch

IEEE Trans. Autom. Control., 2022

Linear Tracking MPC for Nonlinear Systems - Part II: The Data-Driven Case.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Linear Tracking MPC for Nonlinear Systems - Part I: The Model-Based Case.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Training Robust Neural Networks Using Lipschitz Bounds.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Linear Data-Driven Economic MPC with Generalized Terminal Constraint.

[BibT_eX]

[DOI]

Yifan Xie

CoRR, 2022

Data-driven Nonlinear Predictive Control for Feedback Linearizable Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Practical exponential stability of a robust data-driven nonlinear predictive control scheme.

[BibT_eX]

[DOI]

CoRR, 2022

A novel constraint tightening approach for robust data-driven predictive control.

[BibT_eX]

[DOI]

CoRR, 2022

Data-driven distributed MPC of dynamically coupled linear systems.

[BibT_eX]

[DOI]

CoRR, 2022

Data-Driven Control of Event- and Self-Triggered Discrete-Time Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Robustness analysis and training of recurrent neural networks using dissipativity theory.

[BibT_eX]

[DOI]

Patricia Pauli

Autom., 2022

Data-Driven Predictive Disturbance Observer for Quasi Continuum Manipulators.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs?

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Stability in data-driven MPC: an inherent robustness perspective.

[BibT_eX]

[DOI]

Matthias Albrecht Müller

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Data-Driven Model Predictive Control With Stability and Robustness Guarantees.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Data-driven Control of Dynamic Event-triggered Systems with Delays.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Autom., 2021

Data-driven model predictive control: closed-loop guarantees and experimental results.

[BibT_eX]

[DOI]

Autom., 2021

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

[BibT_eX]

[DOI]

Annu. Rev. Control., 2021

Data-Driven Controller Design via Finite-Horizon Dissipativity.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Offset-free setpoint tracking using neural network controllers.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Data-Driven Control of Nonlinear Systems: Beyond Polynomial Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

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

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

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

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Data-Driven Stabilization of Nonlinear Systems with Rational Dynamics.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Training robust neural networks using Lipschitz bounds.

[BibT_eX]

[DOI]

CoRR, 2020

Dissipativity properties in constrained optimal control: A computational approach.

[BibT_eX]

[DOI]

Autom., 2020

A trajectory-based framework for data-driven system analysis and control.

[BibT_eX]

[DOI]

Janani Venkatasubramanian

Proceedings of the 18th European Control Conference, 2020

Robust Dual Control based on Gain Scheduling.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Verifying dissipativity properties from noise-corrupted input-state data.

[BibT_eX]

[DOI]

Anne Koch

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Robust Constraint Satisfaction in Data-Driven MPC.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Robust data-driven state-feedback design.

[BibT_eX]

[DOI]

Proceedings of the 2020 American Control Conference, 2020

2019

One-Shot Verification of Dissipativity Properties From Input-Output Data.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2019

Data-Driven Tracking MPC for Changing Setpoints.

[BibT_eX]

[DOI]

CoRR, 2019

Signal Estimation and System Identification With Nonlinear Dynamic Sensors.

[BibT_eX]

[DOI]

Mario Sznaier