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Julian Berberich
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2020 – today
- 2024
- [j18]Michael Hertneck, Simon Lang, Julian Berberich, Frank Allgöwer:
Event-Triggered Control Based on Integral Quadratic Constraints. IEEE Control. Syst. Lett. 8: 2039-2044 (2024) - [c20]Yifan Xie, Julian Berberich, Frank Allgöwer:
Data-Driven Min-Max MPC for Linear Systems. ACC 2024: 3184-3189 - [c19]Jan Schneider, Julian Berberich:
Using Quantum Computers In Control: Interval Matrix Properties. ECC 2024: 3841-3846 - [i53]Robin Strässer, Manuel Schaller, Karl Worthmann, Julian Berberich, Frank Allgöwer:
SafEDMD: A certified learning architecture tailored to data-driven control of nonlinear dynamical systems. CoRR abs/2402.03145 (2024) - [i52]Jan Schneider, Julian Berberich:
Using quantum computers in control: interval matrix properties. CoRR abs/2403.17711 (2024) - [i51]Yifan Xie, Julian Berberich, Frank Allgöwer:
Data-Driven Min-Max MPC for Linear Systems: Robustness and Adaptation. CoRR abs/2404.19096 (2024) - [i50]Tatiana Strelnikova, Johannes Köhler, Julian Berberich:
Adaptive tracking MPC for nonlinear systems via online linear system identification. CoRR abs/2405.09852 (2024) - [i49]Julian Berberich, Frank Allgöwer:
An overview of systems-theoretic guarantees in data-driven model predictive control. CoRR abs/2406.04130 (2024) - [i48]Niklas Funcke, Julian Berberich:
Robustness of optimal quantum annealing protocols. CoRR abs/2408.06782 (2024) - [i47]Karl Worthmann, Robin Strässer, Manuel Schaller, Julian Berberich, Frank Allgöwer:
Data-driven MPC with terminal conditions in the Koopman framework. CoRR abs/2408.12457 (2024) - 2023
- [j17]Joscha Bongard, Julian Berberich, Johannes Köhler, Frank Allgöwer:
Robust Stability Analysis of a Simple Data-Driven Model Predictive Control Approach. IEEE Trans. Autom. Control. 68(5): 2625-2637 (2023) - [j16]Stefan Wildhagen, Julian Berberich, Michael Hertneck, Frank Allgöwer:
Data-Driven Analysis and Controller Design for Discrete-Time Systems Under Aperiodic Sampling. IEEE Trans. Autom. Control. 68(6): 3210-3225 (2023) - [j15]Julian Berberich, Carsten W. Scherer, Frank Allgöwer:
Combining Prior Knowledge and Data for Robust Controller Design. IEEE Trans. Autom. Control. 68(8): 4618-4633 (2023) - [j14]Mohammad Alsalti, Victor G. Lopez, Julian Berberich, Frank Allgöwer, Matthias A. Müller:
Data-Based Control of Feedback Linearizable Systems. IEEE Trans. Autom. Control. 68(11): 7014-7021 (2023) - [j13]Xin Wang, Julian Berberich, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen:
Model-Based and Data-Driven Control of Event- and Self-Triggered Discrete-Time Linear Systems. IEEE Trans. Cybern. 53(9): 6066-6079 (2023) - [c18]Julian Berberich, Andrea Iannelli, Alberto Padoan, Jeremy Coulson, Florian Dörfler, Frank Allgöwer:
A quantitative and constructive proof of Willems' Fundamental Lemma and its implications. ACC 2023: 4155-4160 - [c17]Robin Strässer, Julian Berberich, Frank Allgöwer:
Control of Bilinear Systems Using Gain-Scheduling: Stability and Performance Guarantees. CDC 2023: 4674-4681 - [i46]Janani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer:
Sequential learning and control: Targeted exploration for robust performance. CoRR abs/2301.07995 (2023) - [i45]Julian Berberich, Daniel Fink, Christian Holm:
Robustness of quantum algorithms against coherent control errors. CoRR abs/2303.00618 (2023) - [i44]Chris Verhoek, Julian Berberich, Sofie Haesaert, Frank Allgöwer, Roland Tóth:
Data-driven Dissipativity Analysis of Linear Parameter-Varying Systems. CoRR abs/2303.10031 (2023) - [i43]Robin Strässer, Julian Berberich, Frank Allgöwer:
Robust data-driven control for nonlinear systems using the Koopman operator. CoRR abs/2304.03519 (2023) - [i42]Robin Strässer, Julian Berberich, Frank Allgöwer:
Control of bilinear systems using gain-scheduling: Stability and performance guarantees. CoRR abs/2304.04486 (2023) - [i41]Yifan Xie, Julian Berberich, Frank Allgöwer:
Data-Driven Min-Max MPC for Linear Systems. CoRR abs/2309.17307 (2023) - [i40]Julian Berberich, Daniel Fink:
Quantum computing through the lens of control: A tutorial introduction. CoRR abs/2310.12571 (2023) - [i39]Chris Verhoek, Julian Berberich, Sofie Haesaert, Roland Tóth, Hossam S. Abbas:
A Linear Parameter-Varying Approach to Data Predictive Control. CoRR abs/2311.07140 (2023) - [i38]Julian Berberich, Daniel Fink, Daniel Pranjic, Christian Tutschku, Christian Holm:
Training robust and generalizable quantum models. CoRR abs/2311.11871 (2023) - [i37]Robin Strässer, Manuel Schaller, Karl Worthmann, Julian Berberich, Frank Allgöwer:
Koopman-based feedback design with stability guarantees. CoRR abs/2312.01441 (2023) - 2022
- [j12]Patricia Pauli, Julian Berberich, Frank Allgöwer:
Robustness analysis and training of recurrent neural networks using dissipativity theory. Autom. 70(8): 730-739 (2022) - [j11]Patricia Pauli, Anne Koch, Julian Berberich, Paul Kohler, Frank Allgöwer:
Training Robust Neural Networks Using Lipschitz Bounds. IEEE Control. Syst. Lett. 6: 121-126 (2022) - [j10]Anne Koch, Julian Berberich, Frank Allgöwer:
Provably Robust Verification of Dissipativity Properties from Data. IEEE Trans. Autom. Control. 67(8): 4248-4255 (2022) - [j9]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Linear Tracking MPC for Nonlinear Systems - Part I: The Model-Based Case. IEEE Trans. Autom. Control. 67(9): 4390-4405 (2022) - [j8]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Linear Tracking MPC for Nonlinear Systems - Part II: The Data-Driven Case. IEEE Trans. Autom. Control. 67(9): 4406-4421 (2022) - [c16]Johannes Köhler, Kim Peter Wabersich, Julian Berberich, Melanie N. Zeilinger:
State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs? CDC 2022: 491-498 - [c15]Julian Berberich, Johannes Köhler, Matthias Albrecht Müller, Frank Allgöwer:
Stability in data-driven MPC: an inherent robustness perspective. CDC 2022: 1105-1110 - [c14]Daniel Müller, Justinus Feilhauer, Jennifer Wickert, Julian Berberich, Frank Allgöwer, Oliver Sawodny:
Data-Driven Predictive Disturbance Observer for Quasi Continuum Manipulators. CDC 2022: 1816-1822 - [i36]Xin Wang, Julian Berberich, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen:
Data-Driven Control of Event- and Self-Triggered Discrete-Time Systems. CoRR abs/2202.08019 (2022) - [i35]Matthias Hirche, Julian Berberich, Matthias A. Müller, Frank Allgöwer:
Data-driven distributed MPC of dynamically coupled linear systems. CoRR abs/2202.12764 (2022) - [i34]Christian Klöppelt, Julian Berberich, Frank Allgöwer, Matthias A. Müller:
A novel constraint tightening approach for robust data-driven predictive control. CoRR abs/2203.07055 (2022) - [i33]Johannes Köhler, Kim Peter Wabersich, Julian Berberich, Melanie N. Zeilinger:
State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs? CoRR abs/2203.15471 (2022) - [i32]Mohammad Alsalti, Victor G. Lopez, Julian Berberich, Frank Allgöwer, Matthias A. Müller:
Data-based Control of Feedback Linearizable Systems. CoRR abs/2204.01148 (2022) - [i31]Mohammad Alsalti, Victor G. Lopez, Julian Berberich, Frank Allgöwer, Matthias A. Müller:
Practical exponential stability of a robust data-driven nonlinear predictive control scheme. CoRR abs/2204.01150 (2022) - [i30]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Stability in data-driven MPC: an inherent robustness perspective. CoRR abs/2205.11859 (2022) - [i29]Julian Berberich, Andrea Iannelli, Alberto Padoan, Jeremy Coulson, Florian Dörfler, Frank Allgöwer:
A quantitative and constructive proof of Willems' Fundamental Lemma and its implications. CoRR abs/2208.00905 (2022) - [i28]Mohammad Alsalti, Victor G. Lopez, Julian Berberich, Frank Allgöwer, Matthias A. Müller:
Data-driven Nonlinear Predictive Control for Feedback Linearizable Systems. CoRR abs/2211.06339 (2022) - [i27]Yifan Xie, Julian Berberich, Frank Allgöwer:
Linear Data-Driven Economic MPC with Generalized Terminal Constraint. CoRR abs/2212.01099 (2022) - 2021
- [j7]Johannes Köhler, Lukas Schwenkel, Anne Koch, Julian Berberich, Patricia Pauli, Frank Allgöwer:
Robust and optimal predictive control of the COVID-19 outbreak. Annu. Rev. Control. 51: 525-539 (2021) - [j6]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-driven model predictive control: closed-loop guarantees and experimental results. Autom. 69(7): 608-618 (2021) - [j5]Anne Koch, Julian Berberich, Johannes Köhler, Frank Allgöwer:
Determining optimal input-output properties: A data-driven approach. Autom. 134: 109906 (2021) - [j4]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-Driven Model Predictive Control With Stability and Robustness Guarantees. IEEE Trans. Autom. Control. 66(4): 1702-1717 (2021) - [c13]Patricia Pauli, Anne Koch, Julian Berberich, Paul Kohler, Frank Allgöwer:
Training Robust Neural Networks Using Lipschitz Bounds. ACC 2021: 2595-2600 - [c12]Mohammad Alsalti, Julian Berberich, Victor G. Lopez, Frank Allgöwer, Matthias A. Müller:
Data-Based System Analysis and Control of Flat Nonlinear Systems. CDC 2021: 1484-1489 - [c11]Patricia Pauli, Dennis Gramlich, Julian Berberich, Frank Allgöwer:
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers. CDC 2021: 3611-3618 - [c10]Robin Strässer, Julian Berberich, Frank Allgöwer:
Data-Driven Control of Nonlinear Systems: Beyond Polynomial Dynamics. CDC 2021: 4344-4351 - [c9]Stefan Wildhagen, Julian Berberich, Matthias Hirche, Frank Allgöwer:
Improved stability conditions for systems under aperiodic sampling: model- and data-based analysis. CDC 2021: 5795-5801 - [c8]Nils Wieler, Julian Berberich, Anne Koch, Frank Allgöwer:
Data-Driven Controller Design via Finite-Horizon Dissipativity. L4DC 2021: 287-298 - [c7]Patricia Pauli, Johannes Köhler, Julian Berberich, Anne Koch, Frank Allgöwer:
Offset-free setpoint tracking using neural network controllers. L4DC 2021: 992-1003 - [i26]Stefan Wildhagen, Julian Berberich, Michael Hertneck, Frank Allgöwer:
Data-driven estimation of the maximum sampling interval: analysis and controller design for discrete-time systems. CoRR abs/2101.00903 (2021) - [i25]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
On the design of terminal ingredients for data-driven MPC. CoRR abs/2101.05573 (2021) - [i24]Nils Wieler, Julian Berberich, Anne Koch, Frank Allgöwer:
Data-Driven Controller Design via Finite-Horizon Dissipativity. CoRR abs/2101.06156 (2021) - [i23]Joscha Bongard, Julian Berberich, Johannes Köhler, Frank Allgöwer:
Robust stability analysis of a simple data-driven model predictive control approach. CoRR abs/2103.00851 (2021) - [i22]Mohammad Alsalti, Julian Berberich, Victor G. Lopez, Frank Allgöwer, Matthias A. Müller:
Data-Based System Analysis and Control of Flat Nonlinear Systems. CoRR abs/2103.02892 (2021) - [i21]Stefan Wildhagen, Julian Berberich, Matthias Hirche, Frank Allgöwer:
Improved stability conditions for systems under aperiodic sampling: model- and data-based analysis. CoRR abs/2103.14353 (2021) - [i20]Patricia Pauli, Dennis Gramlich, Julian Berberich, Frank Allgöwer:
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers. CoRR abs/2103.17106 (2021) - [i19]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Linear tracking MPC for nonlinear systems Part I: The model-based case. CoRR abs/2105.08560 (2021) - [i18]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Linear tracking MPC for nonlinear systems Part II: The data-driven case. CoRR abs/2105.08567 (2021) - [i17]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-driven model predictive control: closed-loop guarantees and experimental results. CoRR abs/2107.00966 (2021) - [i16]Xin Wang, Jian Sun, Julian Berberich, Gang Wang, Frank Allgöwer, Jie Chen:
Data-driven Control of Dynamic Event-triggered Systems with Delays. CoRR abs/2110.12768 (2021) - 2020
- [j3]Julian Berberich, Johannes Köhler, Frank Allgöwer, Matthias A. Müller:
Dissipativity properties in constrained optimal control: A computational approach. Autom. 114: 108840 (2020) - [c6]Julian Berberich, Anne Koch, Carsten W. Scherer, Frank Allgöwer:
Robust data-driven state-feedback design. ACC 2020: 1532-1538 - [c5]Anne Koch, Julian Berberich, Frank Allgöwer:
Verifying dissipativity properties from noise-corrupted input-state data. CDC 2020: 616-621 - [c4]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust Constraint Satisfaction in Data-Driven MPC. CDC 2020: 1260-1267 - [c3]Janani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer:
Robust Dual Control based on Gain Scheduling. CDC 2020: 2270-2277 - [c2]Julian Berberich, Frank Allgöwer:
A trajectory-based framework for data-driven system analysis and control. ECC 2020: 1365-1370 - [i15]Anne Koch, Julian Berberich, Johannes Köhler, Frank Allgöwer:
Determining optimal input-output properties: A data-driven approach. CoRR abs/2002.03882 (2020) - [i14]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust Constraint Satisfaction in Data-Driven MPC. CoRR abs/2003.06808 (2020) - [i13]Janani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer:
Robust Dual Control based on Gain Scheduling. CoRR abs/2004.04563 (2020) - [i12]Anne Koch, Julian Berberich, Frank Allgöwer:
Verifying dissipativity properties from noise-corrupted input-state data. CoRR abs/2004.07270 (2020) - [i11]Patricia Pauli, Anne Koch, Julian Berberich, Frank Allgöwer:
Training robust neural networks using Lipschitz bounds. CoRR abs/2005.02929 (2020) - [i10]Johannes Köhler, Lukas Schwenkel, Anne Koch, Julian Berberich, Patricia Pauli, Frank Allgöwer:
Robust and optimal predictive control of the COVID-19 outbreak. CoRR abs/2005.03580 (2020) - [i9]Anne Koch, Julian Berberich, Frank Allgöwer:
Provably robust verification of dissipativity properties from data. CoRR abs/2006.05974 (2020) - [i8]Julian Berberich, Carsten W. Scherer, Frank Allgöwer:
Combining Prior Knowledge and Data for Robust Controller Design. CoRR abs/2009.05253 (2020) - [i7]Julian Berberich, Stefan Wildhagen, Michael Hertneck, Frank Allgöwer:
Data-driven analysis and control of continuous-time systems under aperiodic sampling. CoRR abs/2011.09221 (2020) - [i6]Robin Strässer, Julian Berberich, Frank Allgöwer:
Data-Driven Stabilization of Nonlinear Systems with Rational Dynamics. CoRR abs/2011.11355 (2020) - [i5]Patricia Pauli, Johannes Köhler, Julian Berberich, Anne Koch, Frank Allgöwer:
Offset-free setpoint tracking using neural network controllers. CoRR abs/2011.14006 (2020)
2010 – 2019
- 2019
- [j2]Anne Romer, Julian Berberich, Johannes Köhler, Frank Allgöwer:
One-Shot Verification of Dissipativity Properties From Input-Output Data. IEEE Control. Syst. Lett. 3(3): 709-714 (2019) - [c1]Julian Berberich, Mario Sznaier, Frank Allgöwer:
Signal Estimation and System Identification With Nonlinear Dynamic Sensors. CCTA 2019: 505-510 - [i4]Julian Berberich, Frank Allgöwer:
A trajectory-based framework for data-driven system analysis and control. CoRR abs/1903.10723 (2019) - [i3]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-Driven Model Predictive Control with Stability and Robustness Guarantees. CoRR abs/1906.04679 (2019) - [i2]Julian Berberich, Anne Romer, Carsten W. Scherer, Frank Allgöwer:
Robust data-driven state-feedback design. CoRR abs/1909.04314 (2019) - [i1]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-Driven Tracking MPC for Changing Setpoints. CoRR abs/1910.09443 (2019) - 2018
- [j1]Julian Berberich, Johannes Köhler, Frank Allgöwer, Matthias A. Müller:
Indefinite Linear Quadratic Optimal Control: Strict Dissipativity and Turnpike Properties. IEEE Control. Syst. Lett. 2(3): 399-404 (2018)
Coauthor Index
aka: Anne Romer
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last updated on 2024-10-07 21:12 CEST by the dblp team
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