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2020 – today
- 2025
- [j32]Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger:
Nonlinear functional estimation: Functional detectability and full information estimation. Autom. 171: 111945 (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]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) - [j29]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) - [i60]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) - [i59]Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger:
Safe Guaranteed Exploration for Non-linear Systems. CoRR abs/2402.06562 (2024) - [i58]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) - [i57]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) - [i56]Tatiana Strelnikova, Johannes Köhler, Julian Berberich:
Adaptive tracking MPC for nonlinear systems via online linear system identification. CoRR abs/2405.09852 (2024) - [i55]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) - [i54]Dennis Benders, Johannes Köhler, Thijs Niesten, Robert Babuska, Javier Alonso-Mora, Laura Ferranti:
Embedded Hierarchical MPC for Autonomous Navigation. CoRR abs/2406.11506 (2024) - [i53]Johannes Köhler, Melanie N. Zeilinger:
Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise. CoRR abs/2407.13257 (2024) - [i52]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) - [i51]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) - [i50]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) - 2023
- [j28]András Sasfi, Melanie N. Zeilinger, Johannes Köhler:
Robust adaptive MPC using control contraction metrics. Autom. 155: 111169 (2023) - [j27]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) - [j26]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) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [c30]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 - [c29]Johannes Köhler, Ferdinand Geuss, Melanie N. Zeilinger:
On Stochastic MPC Formulations with Closed-Loop Guarantees: Analysis and a Unifying Framework. CDC 2023: 6692-6699 - [c28]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
- [j21]Johannes Köhler, Melanie N. Zeilinger:
Recursively Feasible Stochastic Predictive Control Using an Interpolating Initial State Constraint. IEEE Control. Syst. Lett. 6: 2743-2748 (2022) - [j20]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Constrained Nonlinear Output Regulation Using Model Predictive Control. IEEE Trans. Autom. Control. 67(5): 2419-2434 (2022) - [j19]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) - [j18]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) - [c27]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 - [c26]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
- [j17]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) - [j16]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) - [j15]Anne Koch, Julian Berberich, Johannes Köhler, Frank Allgöwer:
Determining optimal input-output properties: A data-driven approach. Autom. 134: 109906 (2021) - [j14]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) - [j13]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) - [c25]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
- [j12]Julian Berberich, Johannes Köhler, Frank Allgöwer, Matthias A. Müller:
Dissipativity properties in constrained optimal control: A computational approach. Autom. 114: 108840 (2020) - [j11]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A nonlinear tracking model predictive control scheme for dynamic target signals. Autom. 118: 109030 (2020) - [j10]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) - [j9]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) - [j8]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) - [c24]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 - [c23]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust Constraint Satisfaction in Data-Driven MPC. CDC 2020: 1260-1267 - [c22]Janani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer:
Robust Dual Control based on Gain Scheduling. CDC 2020: 2270-2277 - [c21]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Implicit solutions to constrained nonlinear output regulation using MPC. CDC 2020: 4604-4609 - [c20]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
- [j7]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Distributed model predictive control - Recursive feasibility under inexact dual optimization. Autom. 102: 1-9 (2019) - [j6]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) - [j5]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) - [c19]Raffaele Soloperto, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Dual Adaptive MPC for output tracking of linear systems. CDC 2019: 1377-1382 - [c18]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 - [c17]Johannes Köhler, Frank Allgöwer, Matthias A. Müller:
A simple framework for nonlinear robust output-feedback MPC. ECC 2019: 793-798 - [c16]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
- [j4]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) - [j3]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) - [j2]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) - [c15]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A novel constraint tightening approach for nonlinear robust model predictive control. ACC 2018: 728-734 - [c14]Johannes Köhler, Chinwendu Enyioha, Frank Allgöwer:
Dynamic Resource Allocation to Control Epidemic Outbreaks A Model Predictive Control Approach. ACC 2018: 1546-1551 - [c13]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
- [c12]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 - 2016
- [b1]Johannes Köhler:
Enhanced Usability and Applicability for Simultaneous Geometry and Reflectance Acquisition. Kaiserslautern University of Technology, Germany, Dr. Hut 2016, ISBN 978-3-8439-2465-8, pp. 1-157 - 2015
- [j1]Tobias Nöll, Johannes Köhler, Gerd Reis, Didier Stricker:
Fully Automatic, Omnidirectional Acquisition of Geometry and Appearance in the Context of Cultural Heritage Preservation. ACM Journal on Computing and Cultural Heritage 8(1): 2:1-2:28 (2015) - [c11]Johannes Köhler, Jan C. Peters, Tobias Nöll, Didier Stricker:
Improvement of Phase Unwrapping Algorithms by Epipolar Constraints. VISAPP (3) 2015: 472-479 - [c10]Johannes Köhler, Tobias Nöll, Norbert Schmitz, Bernd Krolla, Didier Stricker:
Structure from Motion in the Context of Active Scanning. VISAPP (3) 2015: 620-628 - 2014
- [c9]Tobias Nöll, Johannes Köhler, Didier Stricker:
Robust and Accurate Non-parametric Estimation of Reflectance Using Basis Decomposition and Correction Functions. ECCV (2) 2014: 376-391 - [c8]Johannes Köhler, Tobias Nöll, Didier Stricker:
Facilitating Access to the Field of Geometry and Reflectance Acquisition. GCH (Short and Project Papers) 2014 - 2013
- [c7]Tobias Nöll, Johannes Köhler, Gerd Reis, Didier Stricker:
Faithful, compact and complete digitization of cultural heritage using a full-spherical scanner. Digital Heritage (1) 2013: 15-22 - [c6]Johannes Köhler, Tobias Nöll, Gerd Reis, Didier Stricker:
A full-spherical device for simultaneous geometry and reflectance acquisition. WACV 2013: 355-362 - 2012
- [c5]Tobias Nöll, Johannes Köhler, Gerd Reis, Didier Stricker:
High Quality and Memory Efficient Representation for Image Based 3D Reconstructions. DICTA 2012: 1-8 - [c4]Johannes Köhler, Tobias Nöll, Gerd Reis, Didier Stricker:
Robust Outlier Removal from Point Clouds Acquired with Structured Light. Eurographics (Short Papers) 2012: 21-24 - 2010
- [c3]Johannes Köhler, Alain Pagani, Didier Stricker:
Robust Detection and Identification of Partially Occluded Circular Markers. VISAPP (1) 2010: 387-392 - [c2]Johannes Köhler, Alain Pagani, Didier Stricker:
Detection and Identification Techniques for Markers Used in Computer Vision. VLUDS 2010: 36-44
2000 – 2009
- 2009
- [c1]Gerd Reis, Johannes Köhler, Tobias Nöll, Matthias Deller:
Multimodal Visualization. CGVR 2009: 3-9
Coauthor Index
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last updated on 2024-11-06 20:27 CET by the dblp team
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