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Johannes Köhler 0001
Person information
- affiliation: ETH Zurich, Institute for Dynamic Systems and Control, Zurich, Switzerland
- affiliation (PhD 2021): University of Stuttgart, Germany
Other persons with the same name
- Johannes Köhler 0002 — German Research Center for Artificial Intelligence, Kaiserslautern, Germany (and 1 more)
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2020 – today
- 2025
[j40]Simon Muntwiler, Johannes Köhler
, Melanie N. Zeilinger:
Nonlinear functional estimation: Functional detectability and full information estimation. Autom. 171: 111945 (2025)
[j39]Lukas Lanza
, Johannes Köhler
, Dario Dennstädt
, Thomas Berger
, Karl Worthmann
:
A Model-Free Approach to Control Barrier Functions Using Funnel Control. IEEE Control. Syst. Lett. 9: 1183-1188 (2025)
[j38]Janani Venkatasubramanian
, Johannes Köhler
, Julian Berberich
, Frank Allgöwer
:
Sequential Learning and Control: Targeted Exploration for Robust Performance. IEEE Trans. Autom. Control. 70(1): 307-322 (2025)
[j37]Antoine P. Leeman
, Johannes Köhler
, Andrea Zanelli
, Samir Bennani
, Melanie N. Zeilinger
:
Robust Nonlinear Optimal Control via System Level Synthesis. IEEE Trans. Autom. Control. 70(7): 4780-4787 (2025)
[j36]Manish Prajapat
, Johannes Köhler
, Matteo Turchetta
, Andreas Krause
, Melanie N. Zeilinger
:
Safe Guaranteed Exploration for Nonlinear Systems. IEEE Trans. Autom. Control. 70(8): 5333-5348 (2025)
[j35]Abdullah Tokmak
, Christian Fiedler
, Melanie N. Zeilinger
, Sebastian Trimpe
, Johannes Köhler
:
Automatic Nonlinear MPC Approximation With Closed-Loop Guarantees. IEEE Trans. Autom. Control. 70(10): 6388-6403 (2025)
[j34]Johannes Köhler
, Melanie N. Zeilinger
:
Predictive Control for Nonlinear Stochastic Systems: Closed-Loop Guarantees With Unbounded Noise. IEEE Trans. Autom. Control. 70(11): 7382-7397 (2025)
[j33]Henrik Hose
, Johannes Köhler
, Melanie N. Zeilinger
, Sebastian Trimpe
:
Approximate Nonlinear Model Predictive Control With Safety-Augmented Neural Networks. IEEE Trans. Control. Syst. Technol. 33(6): 2490-2497 (2025)
[j32]Dennis Benders
, Johannes Köhler
, Thijs Niesten
, Robert Babuska
, Javier Alonso-Mora
, Laura Ferranti
:
Embedded Hierarchical MPC for Autonomous Navigation. IEEE Trans. Robotics 41: 3556-3574 (2025)
[c28]Janani Venkatasubramanian, Johannes Köhler, Frank Allgöwer:
Beyond Asymptotics: Targeted exploration with finite-sample guarantees. CDC 2025: 75-81
[c27]Hannes Petrenz, Johannes Köhler, Francesco Borrelli:
Robust MPC for Uncertain Linear Systems - Combining Model Adaptation and Iterative Learning. CDC 2025: 1777-1782
[c26]Lukas Schwenkel, Johannes Köhler, Matthias Albrecht Müller, Frank Allgöwer:
Output-feedback model predictive control under dynamic uncertainties using integral quadratic constraints. CDC 2025: 3514-3521
[c25]Fabian Flürenbrock, Johannes Köhler, Marianne Schmid Daners, Melanie N. Zeilinger:
Zone Model Predictive Control with Active Learning and Application to Cerebrospinal Fluid Dynamics. CDC 2025: 5153-5160
[i83]Marcell Bartos, Alexandre Didier
, Jerome Sieber, Johannes Köhler, Melanie N. Zeilinger:
Stochastic MPC with Online-optimized Policies and Closed-loop Guarantees. CoRR abs/2502.06469 (2025)
[i82]Yunke Ao, Johannes Köhler, Manish Prajapat, Yarden As, Melanie Nicole Zeilinger, Philipp Fürnstahl, Andreas Krause:
Stochastic Model Predictive Control for Sub-Gaussian Noise. CoRR abs/2503.08795 (2025)
[i81]Lukas Schwenkel, Johannes Köhler, Matthias Albrecht Müller, Carsten W. Scherer, Frank Allgöwer:
Multi-objective robust controller synthesis with integral quadratic constraints in discrete-time. CoRR abs/2503.22429 (2025)
[i80]Lukas Schwenkel, Johannes Köhler, Matthias Albrecht Müller, Frank Allgöwer:
Output-feedback model predictive control under dynamic uncertainties using integral quadratic constraints. CoRR abs/2504.00196 (2025)
[i79]Janani Venkatasubramanian, Johannes Köhler, Frank Allgöwer:
Beyond Asymptotics: Targeted exploration with finite-sample guarantees. CoRR abs/2504.02380 (2025)
[i78]Hannes Petrenz, Johannes Köhler, Francesco Borrelli:
Robust MPC for Uncertain Linear Systems - Combining Model Adaptation and Iterative Learning. CoRR abs/2504.11261 (2025)
[i77]Manish Prajapat, Johannes Köhler, Amon Lahr, Andreas Krause, Melanie N. Zeilinger:
Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics. CoRR abs/2505.07594 (2025)
[i76]Amon Lahr, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger:
Optimal kernel regression bounds under energy-bounded noise. CoRR abs/2505.22235 (2025)
[i75]Patrick Benito Eberhard, Johannes Köhler, Oliver Hüsser, Melanie N. Zeilinger, Andrea Carron:
Time-Varying Coverage Control: A Distributed Tracker-Planner MPC Framework. CoRR abs/2507.01567 (2025)
[i74]Mathieu Dubied, Amon Lahr, Melanie N. Zeilinger, Johannes Köhler:
A robust and adaptive MPC formulation for Gaussian process models. CoRR abs/2507.02098 (2025)
[i73]Dennis Benders, Laura Ferranti, Johannes Köhler:
A Step-by-step Guide on Nonlinear Model Predictive Control for Safe Mobile Robot Navigation. CoRR abs/2507.17856 (2025)
[i72]Dennis Benders, Johannes Köhler, Robert Babuska, Javier Alonso-Mora, Laura Ferranti:
From Data to Safe Mobile Robot Navigation: An Efficient and Modular Robust MPC Design Pipeline. CoRR abs/2508.07045 (2025)
[i71]Bernhard Wullt, Johannes Köhler, Per Mattsson, Mikael Norrlöf, Thomas B. Schön:
Robust Convex Model Predictive Control with collision avoidance guarantees for robot manipulators. CoRR abs/2508.21677 (2025)
[i70]Fabian Flürenbrock, Yanick Büchel, Johannes Köhler, Marianne Schmid Daners, Melanie N. Zeilinger:
Model Predictive Control with Reference Learning for Soft Robotic Intracranial Pressure Waveform Modulation. CoRR abs/2509.13109 (2025)
[i69]Johannes Köhler, Daniel Zhang, Raffaele Soloperto, Andrea Carron, Melanie Nicole Zeilinger:
An MPC framework for efficient navigation of mobile robots in cluttered environments. CoRR abs/2509.15917 (2025)
[i68]Manish Prajapat, Johannes Köhler, Melanie N. Zeilinger, Andreas Krause:
Safe Guaranteed Dynamics Exploration with Probabilistic Models. CoRR abs/2509.16650 (2025)
[i67]Antoine P. Leeman, Johannes Köhler, Melanie N. Zeilinger:
Guaranteed Robust Nonlinear MPC via Disturbance Feedback. CoRR abs/2509.18760 (2025)
[i66]Johannes Köhler, Carlo Scholz, Melanie N. Zeilinger:
Robust reduced-order model predictive control using peak-to-peak analysis of filtered signals. CoRR abs/2511.03002 (2025)
[i65]Marcell Bartos, Johannes Köhler, Florian Dörfler, Melanie N. Zeilinger:
Stability of Certainty-Equivalent Adaptive LQR for Linear Systems with Unknown Time-Varying Parameters. CoRR abs/2511.08236 (2025)
[i64]Irene Schimperna, Lea Bold, Johannes Köhler, Karl Worthmann, Lalo Magni:
Stability of data-driven Koopman MPC with terminal conditions. CoRR abs/2511.21248 (2025)- 2024
[j31]Johannes Köhler
, Matthias Albrecht Müller, Frank Allgöwer
:
Analysis and design of model predictive control frameworks for dynamic operation - An overview. Annu. Rev. Control. 57: 100929 (2024)
[j30]Haldun Balim
, Andrea Carron
, Melanie N. Zeilinger
, Johannes Köhler
:
Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction With Identified Multi-Step Predictors. IEEE Control. Syst. Lett. 8: 3249-3254 (2024)
[j29]Marvin Becker
, Johannes Köhler
, Sami Haddadin
, Matthias Albrecht Müller
:
Motion Planning Using Reactive Circular Fields: A 2-D Analysis of Collision Avoidance and Goal Convergence. IEEE Trans. Autom. Control. 69(3): 1552-1567 (2024)
[j28]Rahel Rickenbach
, Johannes Köhler
, Anna Scampicchio
, Melanie N. Zeilinger
, Andrea Carron
:
Active Learning-Based Model Predictive Coverage Control. IEEE Trans. Autom. Control. 69(9): 5931-5946 (2024)
[c24]Pablo Krupa, Johannes Köhler, Antonio Ferramosca
, Ignacio Alvarado, Melanie Nicole Zeilinger, Teodoro Alamo, Daniel Limón:
Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation. CDC 2024: 2977-2991
[c23]Manish Prajapat
, Amon Lahr, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger:
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework. CDC 2024: 7458-7465
[c22]Maximilian Degner, Raffaele Soloperto, Melanie N. Zeilinger, John Lygeros, Johannes Köhler:
Adaptive Economic Model Predictive Control for linear systems with performance guarantees. CDC 2024: 7490-7496
[c21]Léo Simpson, Jonas Asprion, Simon Muntwiler, Johannes Köhler, Moritz Diehl:
Parallelizable Parametric Nonlinear System Identification via tuning of a Moving Horizon State Estimator. CDC 2024: 8786-8792
[c20]Luis A. Pabon, Johannes Köhler, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone
:
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC). IROS 2024: 12840-12847
[i63]Antoine P. Leeman, Johannes Köhler
, Florian Messerer, Amon Lahr, Moritz Diehl, Melanie N. Zeilinger:
Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions. CoRR abs/2401.13762 (2024)
[i62]Manish Prajapat, Johannes Köhler
, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger:
Safe Guaranteed Exploration for Non-linear Systems. CoRR abs/2402.06562 (2024)
[i61]Maximilian Degner
, Raffaele Soloperto, Melanie N. Zeilinger, John Lygeros, Johannes Köhler
:
Adaptive Economic Model Predictive Control for linear systems with performance guarantees. CoRR abs/2403.18398 (2024)
[i60]Luis A. Pabon, Johannes Köhler
, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone:
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC). CoRR abs/2404.01550 (2024)
[i59]Tatiana Strelnikova, Johannes Köhler
, Julian Berberich:
Adaptive tracking MPC for nonlinear systems via online linear system identification. CoRR abs/2405.09852 (2024)
[i58]Pablo Krupa, Johannes Köhler
, Antonio Ferramosca, Ignacio Alvarado, Melanie N. Zeilinger, Teodoro Alamo, Daniel Limón:
Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation. CoRR abs/2406.06157 (2024)
[i57]Dennis Benders, Johannes Köhler
, Thijs Niesten, Robert Babuska, Javier Alonso-Mora, Laura Ferranti:
Embedded Hierarchical MPC for Autonomous Navigation. CoRR abs/2406.11506 (2024)
[i56]Johannes Köhler
, Melanie N. Zeilinger:
Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise. CoRR abs/2407.13257 (2024)
[i55]Haldun Balim, Andrea Carron, Melanie N. Zeilinger, Johannes Köhler
:
From Data to Predictive Control: A Framework for Stochastic Linear Systems with Output Measurements. CoRR abs/2407.17277 (2024)
[i54]Manish Prajapat, Amon Lahr
, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger:
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework. CoRR abs/2409.08616 (2024)
[i53]Haldun Balim, Andrea Carron, Melanie N. Zeilinger, Johannes Köhler:
Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction with Identified Multi-step Predictors. CoRR abs/2409.10405 (2024)
[i52]Marko Nonhoff
, Johannes Köhler, Matthias Albrecht Müller:
Online convex optimization for constrained control of nonlinear systems. CoRR abs/2412.00922 (2024)
[i51]Maximilian Degner
, Raffaele Soloperto, Melanie N. Zeilinger, John Lygeros, Johannes Köhler:
Adaptive Economic Model Predictive Control: Performance Guarantees for Nonlinear Systems. CoRR abs/2412.13046 (2024)
[i50]Janani Venkatasubramanian, Johannes Köhler, Mark Cannon, Frank Allgöwer:
Robust targeted exploration for systems with non-stochastic disturbances. CoRR abs/2412.20426 (2024)- 2023
[j27]András Sasfi
, Melanie N. Zeilinger, Johannes Köhler
:
Robust adaptive MPC using control contraction metrics. Autom. 155: 111169 (2023)
[j26]Danilo Saccani
, Giancarlo Ferrari-Trecate
, Melanie N. Zeilinger
, Johannes Köhler
:
Homothetic Tube Model Predictive Control With Multi-Step Predictors. IEEE Control. Syst. Lett. 7: 3561-3566 (2023)
[j25]Lukas Schwenkel
, Johannes Köhler
, Matthias Albrecht Müller
, Frank Allgöwer
:
Model Predictive Control for Linear Uncertain Systems Using Integral Quadratic Constraints. IEEE Trans. Autom. Control. 68(1): 355-368 (2023)
[j24]Raffaele Soloperto
, Johannes Köhler
, Frank Allgöwer
:
A Nonlinear MPC Scheme for Output Tracking Without Terminal Ingredients. IEEE Trans. Autom. Control. 68(4): 2368-2375 (2023)
[j23]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)
[j22]Johannes Köhler
, Melanie N. Zeilinger
, Lars Grüne
:
Stability and Performance Analysis of NMPC: Detectable Stage Costs and General Terminal Costs. IEEE Trans. Autom. Control. 68(10): 6114-6129 (2023)
[j21]Julian D. Schiller
, Simon Muntwiler
, Johannes Köhler
, Melanie N. Zeilinger
, Matthias Albrecht Müller
:
A Lyapunov Function for Robust Stability of Moving Horizon Estimation. IEEE Trans. Autom. Control. 68(12): 7466-7481 (2023)
[c19]John Irvin Alora, Luis A. Pabon, Johannes Köhler
, Mattia Cenedese, Edward Schmerling, Melanie N. Zeilinger, George Haller, Marco Pavone
:
Robust Nonlinear Reduced-Order Model Predictive Control. CDC 2023: 4798-4805
[c18]Johannes Köhler
, Ferdinand Geuss, Melanie N. Zeilinger:
On Stochastic MPC Formulations with Closed-Loop Guarantees: Analysis and a Unifying Framework. CDC 2023: 6692-6699
[c17]Antoine Leeman, Johannes Köhler
, Samir Bennani, Melanie N. Zeilinger:
Predictive safety filter using system level synthesis. L4DC 2023: 1180-1192
[d1]Henrik Hose
, Johannes Köhler
, Melanie N. Zeilinger
, Sebastian Trimpe
:
Supplementary dataset for paper: "Approximate non-linear model predictive control with safety-augmented neural networks". Zenodo, 2023
[i49]Antoine P. Leeman, Johannes Köhler
, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger:
Robust Nonlinear Optimal Control via System Level Synthesis. CoRR abs/2301.04943 (2023)
[i48]Janani Venkatasubramanian, Johannes Köhler
, Julian Berberich, Frank Allgöwer
:
Sequential learning and control: Targeted exploration for robust performance. CoRR abs/2301.07995 (2023)
[i47]Rahel Rickenbach, Johannes Köhler
, Anna Scampicchio
, Melanie N. Zeilinger, Andrea Carron:
Active Learning-based Model Predictive Coverage Control. CoRR abs/2303.09910 (2023)
[i46]Johannes Köhler
, Ferdinand Geuss, Melanie N. Zeilinger:
On stochastic MPC formulations with closed-loop guarantees: Analysis and a unifying framework. CoRR abs/2304.00069 (2023)
[i45]Henrik Hose, Johannes Köhler
, Melanie N. Zeilinger, Sebastian Trimpe
:
Approximate non-linear model predictive control with safety-augmented neural networks. CoRR abs/2304.09575 (2023)
[i44]Johannes Köhler, Matthias Albrecht Müller, Frank Allgöwer
:
Analysis and design of model predictive control frameworks for dynamic operation - An overview. CoRR abs/2307.03004 (2023)
[i43]John Irvin Alora, Luis A. Pabon, Johannes Köhler
, Mattia Cenedese, Edward Schmerling, Melanie N. Zeilinger, George Haller, Marco Pavone:
Robust Nonlinear Reduced-Order Model Predictive Control. CoRR abs/2309.05746 (2023)
[i42]Danilo Saccani, Giancarlo Ferrari-Trecate
, Melanie N. Zeilinger, Johannes Köhler
:
Homothetic tube model predictive control with multi-step predictors. CoRR abs/2309.06591 (2023)
[i41]Janani Venkatasubramanian, Johannes Köhler
, Mark Cannon, Frank Allgöwer
:
Towards non-stochastic targeted exploration. CoRR abs/2312.05947 (2023)
[i40]Abdullah Tokmak, Christian Fiedler, Melanie N. Zeilinger, Sebastian Trimpe, Johannes Köhler
:
Automatic nonlinear MPC approximation with closed-loop guarantees. CoRR abs/2312.10199 (2023)
[i39]Simon Muntwiler, Johannes Köhler
, Melanie N. Zeilinger:
Nonlinear Functional Estimation: Functional Detectability and Full Information Estimation. CoRR abs/2312.13859 (2023)
[i38]Simon Muntwiler, Johannes Köhler
, Melanie N. Zeilinger:
MHE under parametric uncertainty - Robust state estimation without informative data. CoRR abs/2312.14049 (2023)- 2022
[j20]Johannes Köhler
, Melanie N. Zeilinger
:
Recursively Feasible Stochastic Predictive Control Using an Interpolating Initial State Constraint. IEEE Control. Syst. Lett. 6: 2743-2748 (2022)
[j19]Johannes Köhler
, Matthias A. Müller
, Frank Allgöwer
:
Constrained Nonlinear Output Regulation Using Model Predictive Control. IEEE Trans. Autom. Control. 67(5): 2419-2434 (2022)
[j18]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)
[j17]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
[i37]Julian D. Schiller
, Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger, Matthias A. Müller:
A Lyapunov function for robust stability of moving horizon estimation. CoRR abs/2202.12744 (2022)
[i36]Johannes Köhler
, Melanie N. Zeilinger:
Recursively feasible stochastic predictive control using an interpolating initial state constraint - extended version. CoRR abs/2203.01073 (2022)
[i35]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)
[i34]Julian Berberich, Johannes Köhler
, Matthias A. Müller, Frank Allgöwer
:
Stability in data-driven MPC: an inherent robustness perspective. CoRR abs/2205.11859 (2022)
[i33]Johannes Köhler
, Melanie N. Zeilinger:
Globally stable and locally optimal model predictive control using a softened initial state constraint - extended version. CoRR abs/2207.10216 (2022)
[i32]András Sasfi, Melanie N. Zeilinger, Johannes Köhler:
Robust adaptive MPC using control contraction metrics. CoRR abs/2209.11713 (2022)
[i31]Marvin Becker, Johannes Köhler
, Sami Haddadin
, Matthias A. Müller:
Motion Planning using Reactive Circular Fields: A 2D Analysis of Collision Avoidance and Goal Convergence. CoRR abs/2210.16106 (2022)
[i30]Marko Nonhoff
, Johannes Köhler
, Matthias A. Müller:
Online convex optimization for constrained control of linear systems using a reference governor. CoRR abs/2211.09088 (2022)
[i29]Lukas Schwenkel, Johannes Köhler
, Matthias A. Müller, Frank Allgöwer
:
Robust peak-to-peak gain analysis using integral quadratic constraints. CoRR abs/2211.09434 (2022)
[i28]Antoine P. Leeman, Johannes Köhler, Samir Bennani, Melanie N. Zeilinger:
Predictive safety filter using system level synthesis. CoRR abs/2212.02111 (2022)- 2021
[j16]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)
[j15]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)
[j14]Anne Koch, Julian Berberich
, Johannes Köhler
, Frank Allgöwer
:
Determining optimal input-output properties: A data-driven approach. Autom. 134: 109906 (2021)
[j13]Johannes Köhler
, Raffaele Soloperto
, Matthias A. Müller
, Frank Allgöwer
:
A Computationally Efficient Robust Model Predictive Control Framework for Uncertain Nonlinear Systems. IEEE Trans. Autom. Control. 66(2): 794-801 (2021)
[j12]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)
[c14]Patricia Pauli, Johannes Köhler, Julian Berberich, Anne Koch, Frank Allgöwer:
Offset-free setpoint tracking using neural network controllers. L4DC 2021: 992-1003
[i27]Johannes Köhler, Frank Allgöwer:
Stability and performance in MPC using a finite-tail cost. CoRR abs/2101.04738 (2021)
[i26]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
On the design of terminal ingredients for data-driven MPC. CoRR abs/2101.05573 (2021)
[i25]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)
[i24]Lukas Schwenkel, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Model predictive control for linear uncertain systems using integral quadratic constraints. CoRR abs/2104.05444 (2021)
[i23]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust output feedback model predictive control using online estimation bounds. CoRR abs/2105.03427 (2021)
[i22]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)
[i21]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)
[i20]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)
[i19]Johannes Köhler, Melanie N. Zeilinger, Lars Grüne:
Stability and performance analysis of NMPC: Detectable stage costs and general terminal costs. CoRR abs/2110.11021 (2021)- 2020
[j11]Julian Berberich
, Johannes Köhler
, Frank Allgöwer
, Matthias A. Müller:
Dissipativity properties in constrained optimal control: A computational approach. Autom. 114: 108840 (2020)
[j10]Johannes Köhler
, Matthias A. Müller, Frank Allgöwer
:
A nonlinear tracking model predictive control scheme for dynamic target signals. Autom. 118: 109030 (2020)
[j9]Raffaele Soloperto
, Johannes Köhler
, Frank Allgöwer
:
Augmenting MPC Schemes With Active Learning: Intuitive Tuning and Guaranteed Performance. IEEE Control. Syst. Lett. 4(3): 713-718 (2020)
[j8]Julian Nubert
, Johannes Köhler
, Vincent Berenz
, Frank Allgöwer
, Sebastian Trimpe
:
Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control. IEEE Robotics Autom. Lett. 5(2): 3050-3057 (2020)
[j7]Johannes Köhler
, Matthias A. Müller
, Frank Allgöwer
:
A Nonlinear Model Predictive Control Framework Using Reference Generic Terminal Ingredients. IEEE Trans. Autom. Control. 65(8): 3576-3583 (2020)
[c13]Lukas Schwenkel
, Johannes Köhler
, Matthias A. Müller, Frank Allgöwer
:
Dynamic uncertainties in model predictive control: guaranteed stability for constrained linear systems. CDC 2020: 1235-1241
[c12]Julian Berberich
, Johannes Köhler
, Matthias A. Müller, Frank Allgöwer
:
Robust Constraint Satisfaction in Data-Driven MPC. CDC 2020: 1260-1267
[c11]Janani Venkatasubramanian, Johannes Köhler
, Julian Berberich, Frank Allgöwer
:
Robust Dual Control based on Gain Scheduling. CDC 2020: 2270-2277
[c10]Johannes Köhler
, Matthias A. Müller, Frank Allgöwer
:
Implicit solutions to constrained nonlinear output regulation using MPC. CDC 2020: 4604-4609
[c9]Johannes R. Walter, Harnoor Saini, Benjamin Maier, Naser Mostashiri
, Jaime L. Aguayo
, Homayoon Zarshenas, Christoph Hinze
, Shahnewaz Shuva, Johannes Köhler
, Annika S. Sahrmann
, Che-Ming Chang
, Akos Csiszar, Simona Galliani, Leo K. Cheng, Oliver Röhrle:
Comparative Study of a Biomechanical Model-based and Black-box Approach for Subject-Specific Movement Prediction*. EMBC 2020: 4775-4778
[i18]Anne Koch, Julian Berberich, Johannes Köhler, Frank Allgöwer:
Determining optimal input-output properties: A data-driven approach. CoRR abs/2002.03882 (2020)
[i17]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust Constraint Satisfaction in Data-Driven MPC. CoRR abs/2003.06808 (2020)
[i16]Janani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer:
Robust Dual Control based on Gain Scheduling. CoRR abs/2004.04563 (2020)
[i15]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)
[i14]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Periodic optimal control of nonlinear constrained systems using economic model predictive control. CoRR abs/2005.05245 (2020)
[i13]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Constrained nonlinear output regulation using model predictive control - extended version. CoRR abs/2005.12413 (2020)
[i12]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
[j6]Johannes Köhler
, Matthias A. Müller, Frank Allgöwer
:
Distributed model predictive control - Recursive feasibility under inexact dual optimization. Autom. 102: 1-9 (2019)
[j5]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)
[j4]Johannes Köhler
, Matthias A. Müller
, Frank Allgöwer
:
Nonlinear Reference Tracking: An Economic Model Predictive Control Perspective. IEEE Trans. Autom. Control. 64(1): 254-269 (2019)
[c8]Raffaele Soloperto
, Johannes Köhler
, Matthias A. Müller, Frank Allgöwer
:
Dual Adaptive MPC for output tracking of linear systems. CDC 2019: 1377-1382
[c7]Johannes Köhler
, Elisa Andina, Raffaele Soloperto
, Matthias A. Müller, Frank Allgöwer
:
Linear robust adaptive model predictive control: Computational complexity and conservatism. CDC 2019: 1383-1388
[c6]Johannes Köhler
, Frank Allgöwer
, Matthias A. Müller:
A simple framework for nonlinear robust output-feedback MPC. ECC 2019: 793-798
[c5]Raffaele Soloperto
, Johannes Köhler
, Frank Allgöwer
, Matthias A. Müller:
Collision avoidance for uncertain nonlinear systems with moving obstacles using robust Model Predictive Control. ECC 2019: 811-817
[i11]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-Driven Model Predictive Control with Stability and Robustness Guarantees. CoRR abs/1906.04679 (2019)
[i10]Johannes Köhler, Elisa Andina, Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer:
Linear robust adaptive model predictive control: Computational complexity and conservatism. CoRR abs/1909.01813 (2019)
[i9]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A nonlinear model predictive control framework using reference generic terminal ingredients. CoRR abs/1909.12765 (2019)
[i8]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-Driven Tracking MPC for Changing Setpoints. CoRR abs/1910.09443 (2019)
[i7]Johannes Köhler, Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer:
A computationally efficient robust model predictive control framework for uncertain nonlinear systems. CoRR abs/1910.12081 (2019)
[i6]Johannes Köhler, Peter Kötting, Raffaele Soloperto, Frank Allgöwer, Matthias A. Müller:
A robust adaptive model predictive control framework for nonlinear uncertain systems. CoRR abs/1911.02899 (2019)
[i5]Mario Rosenfelder, Johannes Köhler, Frank Allgöwer:
Stability and performance in transient average constrained economic MPC without terminal constraints. CoRR abs/1911.03210 (2019)
[i4]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A nonlinear tracking model predictive control scheme for dynamic target signals. CoRR abs/1911.03304 (2019)
[i3]Lukas Schwenkel, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust Economic Model Predictive Control without Terminal Conditions. CoRR abs/1911.12235 (2019)
[i2]Julian Nubert, Johannes Köhler, Vincent Berenz, Frank Allgöwer, Sebastian Trimpe:
Safe and Fast Tracking Control on a Robot Manipulator: Robust MPC and Neural Network Control. CoRR abs/1912.10360 (2019)- 2018
[j3]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)
[j2]Johannes Köhler
, Matthias A. Müller
, Frank Allgöwer
:
On Periodic Dissipativity Notions in Economic Model Predictive Control. IEEE Control. Syst. Lett. 2(3): 501-506 (2018)
[j1]Michael Hertneck
, Johannes Köhler
, Sebastian Trimpe
, Frank Allgöwer
:
Learning an Approximate Model Predictive Controller With Guarantees. IEEE Control. Syst. Lett. 2(3): 543-548 (2018)
[c4]Johannes Köhler
, Matthias A. Müller, Frank Allgöwer
:
A novel constraint tightening approach for nonlinear robust model predictive control. ACC 2018: 728-734
[c3]Johannes Köhler
, Chinwendu Enyioha
, Frank Allgöwer
:
Dynamic Resource Allocation to Control Epidemic Outbreaks A Model Predictive Control Approach. ACC 2018: 1546-1551
[c2]Johannes Köhler
, Matthias A. Müller, Frank Allgöwer
:
Nonlinear Reference Tracking with Model Predictive Control: An Intuitive Approach. ECC 2018: 1355-1360
[i1]Michael Hertneck, Johannes Köhler, Sebastian Trimpe, Frank Allgöwer:
Learning an Approximate Model Predictive Controller with Guarantees. CoRR abs/1806.04167 (2018)- 2017
[c1]Johannes Köhler
, Matthias A. Müller, Na Li, Frank Allgöwer
:
Real time economic dispatch for power networks: A distributed economic model predictive control approach. CDC 2017: 6340-6345
Coauthor Index
aka: Melanie N. Zeilinger

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