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ORCIDKnut Graichen
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- affiliation: University of Ulm, Germany
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2020 – today
- 2025
[j39]Theresa Kruse, Thomas Griebel, Knut Graichen:
Adaptive Kalman Filtering: Measurement and Process Noise Covariance Estimation Using Kalman Smoothing. IEEE Access 13: 11863-11875 (2025)- 2024
- [j38]Paulina Conrad
, Knut Graichen:
A Sensitivity-Based Approach to Self-Triggered Nonlinear Model Predictive Control. IEEE Access 12: 153243-153252 (2024) - [j37]Maximilian Pierer von Esch, Andreas Völz, Knut Graichen:
Sensitivity-based distributed model predictive control: synchronous and asynchronous execution compared to ADMM. Autom. 72(2): 91-106 (2024) - [j36]Julian Dahlmann, Andreas Völz, Knut Graichen:
Ein Konzept zum automatisierten Rangieren von Fahrzeugen mit Anhängern. Autom. 72(4): 354-368 (2024) - [j35]Maximilian Pierer von Esch, Daniel Landgraf, Matthias Steffel, Andreas Völz, Knut Graichen:
Distributed Stochastic Optimal Control of Nonlinear Systems Based on ADMM. IEEE Control. Syst. Lett. 8: 424-429 (2024) - [j34]Julian Dahlmann, Andreas Völz, Markus Lukassek, Knut Graichen:
Local Predictive Optimization of Globally Planned Motions for Truck-Trailer Systems. IEEE Trans. Control. Syst. Technol. 32(5): 1555-1568 (2024) - [c83]Johannes Reinhard, Klaus Löhe, Knut Graichen:
Optimal dynamic current control for externally excited synchronous machines. CCTA 2024: 146-152 - [c82]Markus Schumann, Knut Graichen:
PINN-based Dynamical Modeling and State Estimation in Power Inverters. CCTA 2024: 618-623 - [c81]Tim Göller, Andreas Völz, Knut Graichen:
A Programming by Demonstration Approach for Robotic Manipulation with Model Predictive Interaction Control. CCTA 2024: 799-804 - [c80]Julian Kißkalt, Andreas Michalka, Christoph Strohmeyer, Maik Horn, Knut Graichen:
Fault Detection in Gauge-Sensorized Strain Wave Gears. ECC 2024: 26-33 - [c79]Tim Göller, Daniel Brohm, Andreas Völz, Knut Graichen:
DMP-Based Path Planning for Model Predictive Interaction Control. ECC 2024: 128-133 - [c78]Fadi Snobar, Andreas Michalka, Maik Horn, Christoph Strohmeyer, Knut Graichen:
Sensitivity-Based Moving Horizon Estimation of Road Friction. ECC 2024: 718-724 - [c77]Philipp Koegler, Julian Dahlmann, Knut Graichen:
Side-Slip Compensation in Model Predictive Path Following Control for General-n-Trailer Systems. ICSTCC 2024: 13-19 - [c76]Florian Goppelt-Schneider, Ronald Schmidt-Vollus, Knut Graichen:
Trajectory tracking control for multilevel pressure boosting systems. ICSTCC 2024: 355-361 - [c75]Thorben Südhoff, Leah Ebner, Jochen Schmidt, Knut Graichen:
GP-based Modeling for PSD Control of Emulsification Processes. ICSTCC 2024: 477-482 - [c74]Maximilian Dio, Knut Graichen, Andreas Völz:
Time-Optimal Path Parameterization for Cooperative Multi-Arm Robotic Systems with Third-Order Constraints. IROS 2024: 3043-3048 - [c73]Lars Ullrich, Alex McMaster, Knut Graichen:
Transfer Learning Study of Motion Transformer-based Trajectory Predictions*. IV 2024: 110-117 - [c72]Georg Rabenstein, Lars Ullrich, Knut Graichen:
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows. IV 2024: 2091-2096 - [i6]Thore Wietzke, Jan Gall, Knut Graichen:
Occupancy Prediction for Building Energy Systems with Latent Force Models. CoRR abs/2401.05074 (2024) - [i5]Lars Ullrich, Alex McMaster, Knut Graichen:
Transfer Learning Study of Motion Transformer-based Trajectory Predictions. CoRR abs/2404.08271 (2024) - [i4]Georg Rabenstein, Lars Ullrich, Knut Graichen:
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows. CoRR abs/2404.09657 (2024) - [i3]Lars Ullrich, Andreas Völz, Knut Graichen:
Robust Meta-Learning of Vehicle Yaw Rate Dynamics via Conditional Neural Processes. CoRR abs/2407.06605 (2024) - [i2]Daniel Landgraf, Andreas Völz, Knut Graichen:
A software framework for stochastic model predictive control of nonlinear continuous-time systems (GRAMPC-S). CoRR abs/2407.09261 (2024) - 2023
- [j33]Daniel Landgraf, Andreas Völz, Felix Berkel, Kevin Schmidt, Thomas Specker, Knut Graichen:
Probabilistic prediction methods for nonlinear systems with application to stochastic model predictive control. Annu. Rev. Control. 56: 100905 (2023) - [j32]Tobias Gold, Andreas Völz, Knut Graichen:
Model Predictive Interaction Control for Robotic Manipulation Tasks. IEEE Trans. Robotics 39(1): 76-89 (2023) - [c71]Lars Ullrich, Andreas Völz, Knut Graichen:
Robust Meta-Learning of Vehicle Yaw Rate Dynamics via Conditional Neural Processes. CDC 2023: 322-327 - [c70]Martin Rohrmüller, Philipp Beckerle, Knut Graichen, Monica Malvezzi, Maria Pozzi:
In-Hand Manipulation with Synergistic Actuated Robotic Hands: An MPC-Based Approach. Humanoids 2023: 1-8 - [c69]Markus Schumann, Sebastian Ebersberger, Knut Graichen:
Improved Nonlinear Estimation in Thermal Networks Using Machine Learning. ICM 2023: 1-6 - [c68]Fadi Snobar, Andreas Michalka, Maik Horn, Christoph Strohmeyer, Knut Graichen:
Rack force estimation from standstill to high speeds by hybrid model design and blending. ICM 2023: 1-6 - [c67]Julian Kißkalt, Andreas Michalka, Christoph Strohmeyer, Maik Horn, Knut Graichen:
Simulation chain for sensorized strain wave gears. ICSTCC 2023: 467-473 - [c66]Markus Schumann, Sebastian Ebersberger, Knut Graichen:
Online Learning and Adaptation of Nonlinear Thermal Networks for Power Inverters. IECON 2023: 1-6 - [c65]Maximilian Dio, Andreas Völz, Knut Graichen:
Cooperative Dual-Arm Control for Heavy Object Manipulation Based on Hierarchical Quadratic Programming. IROS 2023: 643-648 - [c64]Maximilian Dio, Ozan Demir, Adrian Trachte, Knut Graichen:
Safe Active Learning and Probabilistic Design of Experiment for Autonomous Hydraulic Excavators. IROS 2023: 9685-9690 - 2022
- [j31]Knut Graichen, Daniel Görges:
Ausgewählte Beiträge des GMA Fachausschusses 1.50. Autom. 70(4): 315-316 (2022) - [j30]Daniel Bergmann, Karsten Harder, Jens Niemeyer, Knut Graichen:
Nonlinear MPC of a Heavy-Duty Diesel Engine With Learning Gaussian Process Regression. IEEE Trans. Control. Syst. Technol. 30(1): 113-129 (2022) - [j29]Alexander Lamprecht, Dennis Steffen, Katja Nagel, Jens Haecker, Knut Graichen:
Online Model Predictive Motion Cueing With Real-Time Driver Prediction. IEEE Trans. Intell. Transp. Syst. 23(8): 12414-12428 (2022) - [c63]Tobias Gold, Ralf Römer, Andreas Völz, Knut Graichen:
Catching Objects with a Robot Arm using Model Predictive Control. ACC 2022: 1915-1920 - [c62]Julian Dahlmann, Andreas Völz, Tomas Szabo, Knut Graichen:
A Numerical Approach for Solving the Inversion Problem for n-Trailer Systems. ACC 2022: 2018-2024 - [c61]Daniel Landgraf, Andreas Völz, Knut Graichen:
Nonlinear Model Predictive Control with Latent Force Models. ACC 2022: 4979-4984 - [c60]Julian Dahlmann, Andreas Völz, Tomas Szabo, Knut Graichen:
Trajectory Optimization for Truck-Trailer Systems Based on Predictive Path-Following Control. CCTA 2022: 37-42 - [c59]Hartwig Huber, Daniel Burk, Knut Graichen:
Comparison of Sensitivity-Based and ADMM-Based DMPC Applied to Building Automation. CCTA 2022: 546-553 - [c58]Georg Rabenstein, Ozan Demir, Adrian Trachte, Knut Graichen:
Data-Driven Feed-Forward Control of Hydraulic Cylinders using Gaussian Process Regression for Excavator Assistance Functions. CCTA 2022: 962-969 - [c57]Johannes Reinhard, Klaus Löhe, Knut Graichen:
Optimal current setpoint computation for externally excited synchronous machines. CCTA 2022: 1319-1326 - [c56]Julia Stecher, Lothar Kiltz, Knut Graichen:
Semi-infinite programming using Gaussian process regression for robust design optimization. ECC 2022: 52-59 - [c55]Daniel Burk, Andreas Völz, Knut Graichen:
Improving the Performance of Distributed Model Predictive Control by Applying Graph Partitioning Methods. ICSTCC 2022: 104-110 - [c54]Julia Kowalewski, Andreas Lorenz, Alexander Lomakin, Rodrigo Álvarez, Knut Graichen:
Circulating Current Control and Energy Balancing of a Modular Multilevel Converter using Model Predictive Control for HVDC Applications. IECON 2022: 1-6 - 2021
- [j28]Alexander Lamprecht, Dennis Steffen, Jens Haecker, Knut Graichen:
Potential der modellprädiktiven Regelung für Fahrsimulatoren. Autom. 69(2): 155-170 (2021) - [c53]Hartwig Huber, Knut Graichen:
A sensitivity-based distributed model predictive control algorithm for nonlinear continuous-time systems*. CCTA 2021: 195-201 - [c52]Andreas Völz, Knut Graichen:
Gradient-based nonlinear model predictive control for systems with state-dependent mass matrix. CDC 2021: 1012-1017 - [c51]Tobias Gold, Martin Rohrmüller, Andreas Völz, Knut Graichen:
Model Predictive Interaction Control for Force Closure Grasping. CDC 2021: 1018-1023 - [c50]Markus Lukassek, Andreas Völz, Tomas Szabo, Knut Graichen:
Model Predictive Path-Following Control for General n-Trailer Systems with an Arbitrary Guidance Point. ECC 2021: 1335-1340 - [c49]Daniel Burk, Andreas Völz, Knut Graichen:
Towards Asynchronous ADMM for Distributed Model Predictive Control of Nonlinear Systems. ECC 2021: 1957-1962 - 2020
- [j27]Andreas Völz, Knut Graichen:
Prädiktive Pfadfolgeregelung für die kollisionsfreie Bewegungsplanung von Robotern. Autom. 68(7): 557-570 (2020) - [c48]Felix Mesmer, Tomas Szabo, Knut Graichen:
Learning Feedforward Control of a Hydraulic Clutch Actuation Path Based on Policy Gradients. CDC 2020: 585-590 - [c47]Daniel Bergmann, Knut Graichen:
Safe Bayesian Optimization under Unknown Constraints. CDC 2020: 3592-3597 - [c46]Daniel Burk, Andreas Völz, Knut Graichen:
Distributed Optimization with ALADIN for Non-convex Optimal Control Problems. CDC 2020: 4387-4392 - [c45]Daniel Burk, Andreas Völz, Knut Graichen:
Neighbor Approximations for Distributed Optimal Control of Nonlinear Networked Systems. ECC 2020: 1238-1243 - [c44]Tobias Gold, Andreas Völz, Knut Graichen:
Model Predictive Position and Force Trajectory Tracking Control for Robot-Environment Interaction. IROS 2020: 7397-7402 - [c43]Markus Lukassek, Andreas Völz, Tomas Szabo, Knut Graichen:
Model Predictive Control for Agricultural Machines with Implements. MED 2020: 387-392 - [i1]Daniel Burk, Andreas Völz, Knut Graichen:
A Modular Framework for Distributed Model Predictive Control of Nonlinear Continuous-Time Systems (GRAMPC-D). CoRR abs/2010.12315 (2020)
2010 – 2019
- 2019
- [j26]Daniel Bergmann, Knut Graichen:
Gaußprozessregression zur Modellierung zeitvarianter Systeme. Autom. 67(8): 637-647 (2019) - [j25]Knut Graichen, Daniel E. Quevedo:
Ausgewählte Beiträge des GMA-Fachausschusses 1.50. Autom. 67(12): 988-989 (2019) - [j24]Steffen Joos, Matthias Bitzer, Roland Karrelmeyer, Knut Graichen:
Constrained online trajectory planning for nonlinear flat SISO systems using a switched state variable filter. Autom. 110 (2019) - [j23]Andreas Völz, Knut Graichen:
A Predictive Path-Following Controller for Continuous Replanning With Dynamic Roadmaps. IEEE Robotics Autom. Lett. 4(4): 3963-3970 (2019) - [j22]Felix Mesmer, Tomas Szabo, Knut Graichen:
Embedded Nonlinear Model Predictive Control of Dual-Clutch Transmissions With Multiple Groups on a Shrinking Horizon. IEEE Trans. Control. Syst. Technol. 27(5): 2156-2168 (2019) - [c42]Felix Mesmer, Tomas Szabo, Knut Graichen:
Learning Methods for the Feedforward Control of a Hydraulic Clutch Actuation Path. AIM 2019: 733-738 - [c41]Alexander Lamprecht, Dennis Steffen, Jens Haecker, Knut Graichen:
Optimal Control Based Reference Generation for Model Predictive Motion Cueing Algorithms. CCTA 2019: 203-208 - [c40]Daniel Burk, Andreas Völz, Knut Graichen:
Towards a Modular Framework for Distributed Model Predictive Control of Nonlinear Neighbor-Affine Systems. CDC 2019: 5279-5284 - [c39]Felix Mesmer, Tomas Szabo, Knut Graichen:
Feedforward Control of a Hydraulic Clutch Actuation Path. ECC 2019: 620-626 - [c38]Daniel Bergmann, Roman Geiselhart, Knut Graichen:
Modelling and Control of a Heavy-Duty Diesel Engine Gas Path with Gaussian Process Regression. ECC 2019: 1207-1213 - [c37]Roman Geiselhart, Daniel Bergmann, Jens Niemeyer, Jörg Remele, Knut Graichen:
Hierarchical optimization of operational costs of a heavy-duty diesel engine and an exhaust aftertreatment system. ECC 2019: 1227-1232 - [c36]Steffen Joos, Roktim Bruder, Thomas Specker, Matthias Bitzer, Knut Graichen:
Kinematic real-time trajectory planning with state and input constraints for the example of highly automated driving. ICSTCC 2019: 779-784 - 2018
- [j21]Knut Graichen, Lutz Gröll:
Optimierung in der Automatisierungstechnik. Autom. 66(11): 875-876 (2018) - [j20]Rolf Findeisen, Knut Graichen, Martin Mönnigmann:
Eingebettete Optimierung in der Regelungstechnik - Grundlagen und Herausforderungen. Autom. 66(11): 877-902 (2018) - [c35]Daniel Bergmann, Michael Buchholz, Jens Niemeyer, Jörg Remele, Knut Graichen:
Gaussian Process Regression for Nonlinear Time-Varying System Identification. CDC 2018: 3025-3031 - [c34]Karsten Harder, Michael Buchholz, Tim Spader, Knut Graichen:
A Real-time Nonlinear Air Path Observer for Off-Highway Diesel Engines. ECC 2018: 237-242 - [c33]Tobias Englert, Knut Graichen:
Optimal Setpoint Computation for Constrained Torque Control of PMSMs. ECC 2018: 2671-2677 - [c32]Steffen Joos, Matthias Bitzer, Roland Karrelmeyer, Knut Graichen:
Prioritization-based switched feedback control for linear SISO systems with time-varying state and input constraints. ECC 2018: 2935-2940 - [c31]Franz Gritschneder, Knut Graichen, Klaus Dietmayer:
Fast Trajectory Planning for Automated Vehicles Using Gradient-Based Nonlinear Model Predictive Control. IROS 2018: 7369-7374 - [c30]Alexander Lamprecht, Jens Haecker, Knut Graichen:
Constrained Motion Cueing for Driving Simulators Using a Real-Time Nonlinear MPC Scheme. IROS 2018: 7466-7471 - [c29]Andreas Völz, Knut Graichen:
An Optimization-Based Approach to Dual-Arm Motion Planning with Closed Kinematics. IROS 2018: 8346-8351 - 2017
- [c28]Andreas Völz, Knut Graichen:
Composition of dynamic roadmaps for dual-arm motion planning. AIM 2017: 1242-1248 - [c27]Felix Mesmer, Sebastian Hentzelt, Tomas Szabo, Knut Graichen:
Optimal control of dual-clutch transmissions with multiple groups. AIM 2017: 1749-1754 - [c26]Karsten Harder, Michael Buchholz, Jens Niemeyer, Jörg Remele, Knut Graichen:
Nonlinear MPC with emission control for a real-world off-highway diesel engine. AIM 2017: 1768-1773 - [c25]Karsten Harder, Michael Buchholz, Jens Niemeyer, Jörg Remele, Knut Graichen:
A real-time nonlinear MPC scheme with emission constraints for heavy-duty diesel engines. ACC 2017: 240-245 - 2016
- [j19]Andreas Völz, Knut Graichen:
Gradientenbasierte stochastische modellprädiktive Regelung unter Verwendung der Unscented-Transformation. Autom. 64(8): 658-670 (2016) - [c24]Thomas Bächle, Knut Graichen, Michael Buchholz, Klaus Dietmayer:
Loss-focused predictive thermal management of induction motors in electric vehicles using nonlinear fixed-point MPC. CCA 2016: 1392-1397 - [c23]Sönke Rhein, Knut Graichen:
Coupled actuator placement and controller design for electromagnetic heating by means of dynamic optimization. CDC 2016: 4809-4814 - 2015
- [j18]Knut Graichen, Sebastian Hentzelt, Alexander Hildebrandt, Nadine Kärcher, Nina Gaißert, Elias Maria Knubben:
Modellbasierte Analyse und Bewegungsplanung für das BionicKangaroo. Autom. 63(8): 606-620 (2015) - [j17]Sönke Rhein, Tilman Utz, Knut Graichen:
Dynamische Optimierung von Multiphysik-Problemen am Beispiel induktiver Heizvorgänge. Autom. 63(9): 713-726 (2015) - [c22]Sönke Rhein, Knut Graichen:
Dynamic optimization of induction heat-up and surface hardening processes on complex spatial domains. CCA 2015: 1829-1834 - [c21]Sönke Rhein, Tilman Utz, Knut Graichen:
Optimal control of induction heating processes using FEM software. ECC 2015: 515-520 - [c20]Andreas Völz, Knut Graichen:
Stochastic model predictive control of nonlinear continuous-time systems using the unscented transformation. ECC 2015: 3365-3370 - [c19]Knut Graichen, Sebastian Hentzelt:
A bi-level nonlinear predictive control scheme for hopping robots with hip and tail actuation. IROS 2015: 4480-4485 - 2014
- [j16]Sönke Rhein, Tilman Utz, Knut Graichen:
Ertragsmaximierung eines katalytischen Festbettreaktors mit Hilfe eines modellprädiktiven Reglers und Zustandsschätzers. Autom. 62(2): 92-103 (2014) - [c18]Thomas Bächle, Knut Graichen, Michael Buchholz, Klaus Dietmayer:
Vehicle dynamics control in challenging driving situations using nonlinear model predictive control allocation. CCA 2014: 346-351 - [c17]Tilman Utz, Knut Graichen:
Thermal modelling and optimization-based control of a batch diffusion furnace. CCA 2014: 474-479 - [c16]Sebastian Hentzelt, Andreas Klingler, Knut Graichen:
Experimental results for distributed model predictive control applied to a water distribution system. ISIC 2014: 1100-1106 - [c15]Bartosz Kapernick, Knut Graichen:
The gradient based nonlinear model predictive control software GRAMPC. ECC 2014: 1170-1175 - 2013
- [j15]Göntje C. Claasen, Knut Graichen, Philippe Martin:
Symmetrieerhaltende Datenfusion für optisch-inertiales Tracking / Symmetry-Preserving Data Fusion for Optical-Inertial Tracking. Autom. 61(8): 596-608 (2013) - [c14]Tilman Utz, Knut Graichen:
Two-degrees-of-freedom optimization-based control and estimation of a parabolic equation system. ACC 2013: 384-389 - [c13]Bartosz Kapernick, Knut Graichen:
Model predictive control of an overhead crane using constraint substitution. ACC 2013: 3973-3978 - [c12]Bartosz Kapernick, Sebastian Hentzelt, Knut Graichen:
A parallelizable decomposition approach for constrained optimal control problems. CDC 2013: 5783-5788 - [c11]Gontje C. Claasen, Philippe Martin, Knut Graichen:
Error growth due to noise during occlusions in inertially-aided tracking systems. ICRA 2013: 5781-5787 - [c10]Bartosz Kapernick, Knut Graichen:
Transformation of Output Constraints in Optimal Control Applied to a Double Pendulum on a Cart. NOLCOS 2013: 193-198 - [c9]Sebastian Hentzelt, Knut Graichen:
An Augmented Lagrangian Method in Distributed Dynamic Optimization Based on Approximate Neighbor Dynamics. SMC 2013: 571-576 - 2012
- [j14]Knut Graichen:
Nichtlineare modellprädiktive Regelung basierend auf Fixpunktiterationen. Autom. 60(8) (2012) - [j13]Knut Graichen:
A fixed-point iteration scheme for real-time model predictive control. Autom. 48(7): 1300-1305 (2012) - 2011
- [j12]Andreas Steinboeck, Knut Graichen, Andreas Kugi:
Dynamic Optimization of a Slab Reheating Furnace With Consistent Approximation of Control Variables. IEEE Trans. Control. Syst. Technol. 19(6): 1444-1456 (2011) - [c8]Tilman Utz, Knut Graichen, Andreas Kugi:
Combined Feedforward/Model Predictive Tracking Control Design for Nonlinear Diffusion-Convection-Reaction-Systems. System Modelling and Optimization 2011: 296-305 - 2010
- [j11]Knut Graichen, Markus Egretzberger, Andreas Kugi:
Ein suboptimaler Ansatz zur schnellen modellprädiktiven Regelung nichtlinearer Systeme (A Suboptimal Approach to Real-time Model Predictive Control of Nonlinear Systems). Autom. 58(8): 447-457 (2010) - [j10]Knut Graichen, Andreas Kugi, Nicolas Petit, François Chaplais:
Handling constraints in optimal control with saturation functions and system extension. Syst. Control. Lett. 59(11): 671-679 (2010) - [j9]Knut Graichen, Andreas Kugi:
Stability and Incremental Improvement of Suboptimal MPC Without Terminal Constraints. IEEE Trans. Autom. Control. 55(11): 2576-2580 (2010) - [j8]Thomas Kiefer, Knut Graichen, Andreas Kugi:
Trajectory Tracking of a 3DOF Laboratory Helicopter Under Input and State Constraints. IEEE Trans. Control. Syst. Technol. 18(4): 944-952 (2010)
2000 – 2009
- 2009
- [j7]Knut Graichen, Veit Hagenmeyer, Michael Zeitz:
Design of adaptive feedforward control under input constraints for a benchmark CSTR based on a BVP solver. Comput. Chem. Eng. 33(2): 473-483 (2009) - [c7]Knut Graichen, Thomas Kiefer, Andreas Kugi:
Real-time trajectory optimization under input constraints for a flatness-controlled laboratory helicopter. ECC 2009: 2061-2066 - [c6]Clement Ponssard, Knut Graichen, Nicolas Petit, Julien Laurent-Varin:
Ascent optimization for a heavy space launcher. ECC 2009: 3033-3038 - 2008
- [j6]Knut Graichen, Michael Zeitz:
Feedforward control design for finite-time transition problems of non-linear MIMO systems under input constraints. Int. J. Control 81(3): 417-427 (2008) - [j5]Knut Graichen, Michael Zeitz:
Feedforward Control Design for Finite-Time Transition Problems of Nonlinear Systems With Input and Output Constraints. IEEE Trans. Autom. Control. 53(5): 1273-1278 (2008) - [c5]Knut Graichen, Nicolas Petit, Andreas Kugi:
Transformation of optimal control problems with a state constraint avoiding interior boundary conditions. CDC 2008: 913-920 - 2007
- [j4]Knut Graichen:
Feedforward Control Design for Finite-Time Transition Problems of Nonlinear Systems with Input and Output Constraints. Autom. 55(4): 203 (2007) - [j3]Knut Graichen, Michael Treuer, Michael Zeitz:
Swing-up of the double pendulum on a cart by feedforward and feedback control with experimental validation. Autom. 43(1): 63-71 (2007) - 2006
- [j2]Knut Graichen, Michael Zeitz:
Inversionsbasierter Vorsteuerungsentwurf mit Ein- und Ausgangsbeschränkungen (Inversion-Based Feedforward Control Design under Input and Output Constraints). Autom. 54(4): 187-202 (2006) - [c4]Thomas Kiefer, Andreas Kugi, Knut Graichen, Michael Zeitz:
Feedforward and Feedback Tracking Control of a 3DOF Helicopter Experiment under Input and Output Constraints. CDC 2006: 1586-1593 - [c3]Peter Wieland, Thomas Meurer, Knut Graichen, Michael Zeitz:
Feedforward control design under input constraints for a tubular reactor model. CDC 2006: 3968-3973 - 2005
- [j1]Knut Graichen, Veit Hagenmeyer, Michael Zeitz:
A new approach to inversion-based feedforward control design for nonlinear systems. Autom. 41(12): 2033-2041 (2005) - [c2]Knut Graichen, Michael Treuer, Michael Zeitz:
Fast Side-Stepping of the Triple Inverted Pendulum via Constrained Nonlinear Feedforward Control Design. CDC/ECC 2005: 1096-1101 - [c1]Knut Graichen, Veit Hagenmeyer, Michael Zeitz:
Adaptive Feedforward Control with Parameter Estimation for the Chylla-Haase Polymerization Reactor. CDC/ECC 2005: 3049-3054
Coauthor Index
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