Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDFrank Allgöwer
Person information
- affiliation: University of Stuttgart, Germany
- award (2004): Gottfried Wilhelm Leibniz Prize
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j136]Tim Martin
, Frank Allgöwer:
Dissipativity Verification With Guarantees for Polynomial Systems From Noisy Input-State Data. IEEE Control. Syst. Lett. 5(4): 1399-1404 (2021)- [j135]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) - [j134]Anne Koch, Jan Maximilian Montenbruck, Frank Allgöwer:
Sampling Strategies for Data-Driven Inference of Input-Output System Properties. IEEE Trans. Autom. Control. 66(3): 1144-1159 (2021) - [i61]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) - [i60]Johannes Köhler, Frank Allgöwer:
Stability and performance in MPC using a finite-tail cost. CoRR abs/2101.04738 (2021) - [i59]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
On the design of terminal ingredients for data-driven MPC. CoRR abs/2101.05573 (2021) - [i58]Nils Wieler, Julian Berberich, Anne Koch, Frank Allgöwer:
Data-Driven Controller Design via Finite-Horizon Dissipativity. CoRR abs/2101.06156 (2021) - [i57]Christian Klöppelt, Lukas Schwenkel, Frank Allgöwer, Matthias A. Müller:
Transient Performance of Tube-based Robust Economic Model Predictive Control. CoRR abs/2102.09404 (2021) - [i56]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) - 2020
- [j133]Julian Berberich, Johannes Köhler, Frank Allgöwer, Matthias A. Müller:
Dissipativity properties in constrained optimal control: A computational approach. Autom. 114: 108840 (2020) - [j132]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A nonlinear tracking model predictive control scheme for dynamic target signals. Autom. 118: 109030 (2020) - [j131]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) - [j130]Dirke Imig, Nadine Pollak, Frank Allgöwer, Markus Rehm:
Sample-based modeling reveals bidirectional interplay between cell cycle progression and extrinsic apoptosis. PLoS Comput. Biol. 16(6) (2020) - [j129]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) - [j128]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) - [j127]Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Giorgio Guglieri, Marcello Romano, Frank Allgöwer:
An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers. IEEE Trans. Control. Syst. Technol. 28(2): 388-402 (2020) - [c192]Julian Berberich, Anne Koch, Carsten W. Scherer, Frank Allgöwer:
Robust data-driven state-feedback design. ACC 2020: 1532-1538 - [c191]Stefan Wildhagen, Frank Allgöwer:
Scheduling and control over networks using MPC with time-varying terminal ingredients. ACC 2020: 1913-1918 - [c190]Anne Koch, Julian Berberich, Frank Allgöwer:
Verifying dissipativity properties from noise-corrupted input-state data. CDC 2020: 616-621 - [c189]Ying Zhao Lian, Stefan Wildhagen, Yuning Jiang, Boris Houska, Frank Allgöwer, Colin N. Jones:
Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC. CDC 2020: 685-690 - [c188]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 - [c187]Matthias Hirche, Philipp N. Köhler, Matthias A. Müller, Frank Allgöwer:
Distributed Model Predictive Control for Consensus of Constrained Heterogeneous Linear Systems. CDC 2020: 1248-1253 - [c186]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust Constraint Satisfaction in Data-Driven MPC. CDC 2020: 1260-1267 - [c185]Janani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer:
Robust Dual Control based on Gain Scheduling. CDC 2020: 2270-2277 - [c184]Stefan Wildhagen, Frank Allgöwer:
Rollout scheduling and control for disturbed systems via tube MPC. CDC 2020: 3145-3150 - [c183]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Implicit solutions to constrained nonlinear output regulation using MPC. CDC 2020: 4604-4609 - [c182]Tim Martin, Frank Allgöwer:
Iterative data-driven inference of nonlinearity measures via successive graph approximation. CDC 2020: 4760-4765 - [c181]Michael Hertneck, Frank Allgöwer:
Exploiting Information for Decentralized Periodic Event-Triggered Control. CDC 2020: 4999-5004 - [c180]Julian Berberich, Frank Allgöwer:
A trajectory-based framework for data-driven system analysis and control. ECC 2020: 1365-1370 - [c179]Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Model-Based Nonlinear Periodic Event-Triggered Control for Continuous-Time Systems with Sampled-Data Prediction. ECC 2020: 1814-1819 - [i55]Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Model-Based Nonlinear Periodic Event-Triggered Control for Continuous-Time Systems with Sampled-Data Prediction. CoRR abs/2001.11721 (2020) - [i54]Anne Koch, Julian Berberich, Johannes Köhler, Frank Allgöwer:
Determining optimal input-output properties: A data-driven approach. CoRR abs/2002.03882 (2020) - [i53]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust Constraint Satisfaction in Data-Driven MPC. CoRR abs/2003.06808 (2020) - [i52]Stefan Wildhagen, Frank Allgöwer:
Rollout scheduling and control for disturbed systems via tube MPC. CoRR abs/2004.01605 (2020) - [i51]Janani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer:
Robust Dual Control based on Gain Scheduling. CoRR abs/2004.04563 (2020) - [i50]Anne Koch, Julian Berberich, Frank Allgöwer:
Verifying dissipativity properties from noise-corrupted input-state data. CoRR abs/2004.07270 (2020) - [i49]Tim Martin, Frank Allgöwer:
Iterative data-driven inference of nonlinearity measures via successive graph approximation. CoRR abs/2004.11746 (2020) - [i48]Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Stability Analysis for Nonlinear Weakly Hard Real-Time Control Systems. CoRR abs/2005.01345 (2020) - [i47]Patricia Pauli, Anne Koch, Julian Berberich, Frank Allgöwer:
Training robust neural networks using Lipschitz bounds. CoRR abs/2005.02929 (2020) - [i46]Johannes Köhler, Lukas Schwenkel, Anna Koch, Julian Berberich, Patricia Pauli, Frank Allgöwer:
Robust and optimal predictive control of the COVID-19 outbreak. CoRR abs/2005.03580 (2020) - [i45]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Periodic optimal control of nonlinear constrained systems using economic model predictive control. CoRR abs/2005.05245 (2020) - [i44]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Constrained nonlinear output regulation using model predictive control - extended version. CoRR abs/2005.12413 (2020) - [i43]Michael Hertneck, Frank Allgöwer:
A Simple Approach to Increase the Maximum Allowable Transmission Interval. CoRR abs/2006.03268 (2020) - [i42]Anne Koch, Julian Berberich, Frank Allgöwer:
Provably robust verification of dissipativity properties from data. CoRR abs/2006.05974 (2020) - [i41]Tim Martin, Frank Allgöwer:
Dissipativity verification with guarantees for polynomial systems from noisy input-state data. CoRR abs/2008.03231 (2020) - [i40]Julian Berberich, Carsten W. Scherer, Frank Allgöwer:
Combining Prior Knowledge and Data for Robust Controller Design. CoRR abs/2009.05253 (2020) - [i39]Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson:
Data-Driven Reachability Analysis Using Matrix Zonotopes. CoRR abs/2011.08472 (2020) - [i38]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) - [i37]Robin Strässer, Julian Berberich, Frank Allgöwer:
Data-Driven Stabilization of Nonlinear Systems with Rational Dynamics. CoRR abs/2011.11355 (2020) - [i36]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
- [j126]Florian David Brunner, W. P. M. H. Heemels, Frank Allgöwer:
Event-triggered and self-triggered control for linear systems based on reachable sets. Autom. 101: 15-26 (2019) - [j125]Yuanye Chen, Adil Zulfiqar, Dan Ma, Yang Shi, Jie Chen, Frank Allgöwer:
Simultaneous stabilization of discrete-time delay systems and bounds on delay margin. Autom. 101: 296-308 (2019) - [j124]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Distributed model predictive control - Recursive feasibility under inexact dual optimization. Autom. 102: 1-9 (2019) - [j123]Matthias Lorenzen, Mark Cannon, Frank Allgöwer:
Robust MPC with recursive model update. Autom. 103: 461-471 (2019) - [j122]Steffen Linsenmayer, Dimos V. Dimarogonas, Frank Allgöwer:
Periodic event-triggered control for networked control systems based on non-monotonic Lyapunov functions. Autom. 106: 35-46 (2019) - [j121]Karsten Kuritz, Shen Zeng, Frank Allgöwer:
Ensemble Controllability of Cellular Oscillators. IEEE Control. Syst. Lett. 3(2): 296-301 (2019) - [j120]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) - [j119]Stefan Wildhagen, Matthias A. Müller, Frank Allgöwer:
Predictive Control Over a Dynamical Token Bucket Network. IEEE Control. Syst. Lett. 3(4): 859-864 (2019) - [j118]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) - [c178]Tim Martin, Philipp N. Köhler, Frank Allgöwer:
Dissipativity and Economic Model Predictive Control for Optimal Set Operation. ACC 2019: 1020-1026 - [c177]Steffen Linsenmayer, Ben W. Carabelli, Frank Dürr, Jonathan Falk, Frank Allgöwer, Kurt Rothermel:
Integration of Communication Networks and Control Systems Using a Slotted Transmission Classification Model. CCNC 2019: 1-6 - [c176]Julian Berberich, Mario Sznaier, Frank Allgöwer:
Signal Estimation and System Identification With Nonlinear Dynamic Sensors. CCTA 2019: 505-510 - [c175]Raffaele Soloperto, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Dual Adaptive MPC for output tracking of linear systems. CDC 2019: 1377-1382 - [c174]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 - [c173]Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Nonlinear Dynamic Periodic Event-Triggered Control with Robustness to Packet Loss Based on Non-Monotonic Lyapunov Functions. CDC 2019: 1680-1685 - [c172]Tim Martin, Frank Allgöwer:
Nonlinearity measures for data-driven system analysis and control. CDC 2019: 3605-3610 - [c171]Philipp N. Köhler, Matthias A. Müller, Frank Allgöwer:
Graph topology and subsystem centrality in approximately dissipative system interconnections. CDC 2019: 7441-7447 - [c170]Marko Nonhoff, Philipp N. Köhler, Anna M. Kohl, Kristin Ytterstad Pettersen, Frank Allgöwer:
Economic model predictive control for snake robot locomotion. CDC 2019: 8329-8334 - [c169]Anne Romer, Sebastian Trimpe, Frank Allgöwer:
Data-driven inference of passivity properties via Gaussian process optimization. ECC 2019: 29-35 - [c168]Philipp N. Köhler, Matthias A. Müller, Frank Allgöwer:
Approximate dissipativity and performance bounds for interconnected systems. ECC 2019: 787-792 - [c167]Johannes Köhler, Frank Allgöwer, Matthias A. Müller:
A simple framework for nonlinear robust output-feedback MPC. ECC 2019: 793-798 - [c166]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 - [c165]Wolfgang Halter, Simon Michalowsky, Frank Allgöwer:
Extremum seeking for optimal enzyme production under cellular fitness constraints. ECC 2019: 2159-2164 - [i35]Stefan Wildhagen, Matthias A. Müller, Frank Allgöwer:
Economic MPC using a Cyclic Horizon with Application to Networked Control Systems. CoRR abs/1902.08132 (2019) - [i34]Julian Berberich, Frank Allgöwer:
A trajectory-based framework for data-driven system analysis and control. CoRR abs/1903.10723 (2019) - [i33]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-Driven Model Predictive Control with Stability and Robustness Guarantees. CoRR abs/1906.04679 (2019) - [i32]Miel Sharf, Anne Romer, Daniel Zelazo, Frank Allgöwer:
Model-Free Practical Cooperative Control for Diffusively Coupled Systems. CoRR abs/1906.05204 (2019) - [i31]Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Nonlinear Dynamic Periodic Event-Triggered Control with Robustness to Packet Loss Based on Non-Monotonic Lyapunov Functions. CoRR abs/1908.11661 (2019) - [i30]Marko Nonhoff, Philipp N. Köhler, Anna M. Kohl, Kristin Ytterstad Pettersen, Frank Allgöwer:
Economic model predictive control for snake robot locomotion. CoRR abs/1909.00795 (2019) - [i29]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) - [i28]Julian Berberich, Anne Romer, Carsten W. Scherer, Frank Allgöwer:
Robust data-driven state-feedback design. CoRR abs/1909.04314 (2019) - [i27]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A nonlinear model predictive control framework using reference generic terminal ingredients. CoRR abs/1909.12765 (2019) - [i26]Anne Romer, Jan Maximilian Montenbruck, Frank Allgöwer:
Sampling Strategies for Data-Driven Inference of Input-Output System Properties. CoRR abs/1910.08919 (2019) - [i25]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-Driven Tracking MPC for Changing Setpoints. CoRR abs/1910.09443 (2019) - [i24]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) - [i23]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) - [i22]Mario Rosenfelder, Johannes Köhler, Frank Allgöwer:
Stability and performance in transient average constrained economic MPC without terminal constraints. CoRR abs/1911.03210 (2019) - [i21]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A nonlinear tracking model predictive control scheme for dynamic target signals. CoRR abs/1911.03304 (2019) - [i20]Stefan Wildhagen, Frank Allgöwer:
Scheduling and control over networks using MPC with time-varying terminal ingredients. CoRR abs/1911.10780 (2019) - [i19]Stefan Wildhagen, Colin N. Jones, Frank Allgöwer:
A Resource-Aware Approach to Self-Triggered Model Predictive Control. CoRR abs/1911.10799 (2019) - [i18]Florian Jaumann, Stefan Wildhagen, Frank Allgöwer:
Saving Communication Resources in Control over a Token Bucket Network. CoRR abs/1911.10847 (2019) - [i17]Lukas Schwenkel, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust Economic Model Predictive Control without Terminal Conditions. CoRR abs/1911.12235 (2019) - [i16]Henning Schlüter, Frank Allgöwer:
A Constraint-Tightening Approach to Nonlinear Stochastic Model Predictive Control for Systems under General Disturbances. CoRR abs/1912.01946 (2019) - [i15]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
- [j117]Florian A. Bayer, Matthias Albrecht Müller, Frank Allgöwer:
On optimal system operation in robust economic MPC. Autom. 88: 98-106 (2018) - [j116]Florian David Brunner, Duarte Antunes, Frank Allgöwer:
Stochastic thresholds in event-triggered control: A consistent policy for quadratic control. Autom. 89: 376-381 (2018) - [j115]Philipp N. Köhler, Matthias Albrecht Müller, Frank Allgöwer:
A distributed economic MPC framework for cooperative control under conflicting objectives. Autom. 96: 368-379 (2018) - [j114]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) - [j113]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) - [j112]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) - [j111]Steffen Linsenmayer, Hideaki Ishii, Frank Allgöwer:
Containability With Event-Based Sampling for Scalar Systems With Time-Varying Delay and Uncertainty. IEEE Control. Syst. Lett. 2(4): 725-730 (2018) - [j110]Florian David Brunner, Matthias Albrecht Müller, Frank Allgöwer:
Enhancing Output-Feedback MPC With Set-Valued Moving Horizon Estimation. IEEE Trans. Autom. Control. 63(9): 2976-2986 (2018) - [j109]Steffen Linsenmayer, Dimos V. Dimarogonas, Frank Allgöwer:
Event-Based Vehicle Coordination Using Nonlinear Unidirectional Controllers. IEEE Trans. Control. Netw. Syst. 5(4): 1575-1584 (2018) - [j108]Jingbo Wu, Valery A. Ugrinovskii, Frank Allgöwer:
Cooperative Estimation and Robust Synchronization of Heterogeneous Multiagent Systems With Coupled Measurements. IEEE Trans. Control. Netw. Syst. 5(4): 1597-1607 (2018) - [j107]Yuyi Liu, Jan Maximilian Montenbruck, Daniel Zelazo, Marcin Odelga, Sujit Rajappa, Heinrich H. Bülthoff, Frank Allgöwer, Andreas Zell:
A Distributed Control Approach to Formation Balancing and Maneuvering of Multiple Multirotor UAVs. IEEE Trans. Robotics 34(4): 870-882 (2018) - [c164]Richard D. Braatz, Jordan M. Berg, Zongli Lin, Frank Allgöwer:
Welcome to the ACC2018. ACC 2018: 1-5 - [c163]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A novel constraint tightening approach for nonlinear robust model predictive control. ACC 2018: 728-734 - [c162]Johannes Köhler, Chinwendu Enyioha, Frank Allgöwer:
Dynamic Resource Allocation to Control Epidemic Outbreaks A Model Predictive Control Approach. ACC 2018: 1546-1551 - [c161]Anne Romer, Jan Maximilian Montenbruck, Frank Allgöwer:
Some Ideas on Sampling Strategies for Data-Driven Inference of Passivity Properties for MIMO Systems. ACC 2018: 6094-6100 - [c160]Wolfgang Halter, Frank Allgöwer, Richard M. Murray, András György:
Optimal Experiment Design and Leveraging Competition for Shared Resources in Cell-Free Extracts. CDC 2018: 1872-1879 - [c159]Kim Peter Wabersich, Florian A. Bayer, Matthias Albrecht Müller, Frank Allgöwer:
Economic Model Predictive Control for Robust Periodic Operation with Guaranteed Closed-Loop Performance. ECC 2018: 507-513 - [c158]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Nonlinear Reference Tracking with Model Predictive Control: An Intuitive Approach. ECC 2018: 1355-1360 - [c157]Steffen Linsenmayer, Frank Allgöwer:
Performance oriented triggering mechanisms with guaranteed traffic characterization for linear discrete-time systems. ECC 2018: 1474-1479 - [i14]Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Frank Allgöwer, Giorgio Guglieri, Marcello Romano:
An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers. CoRR abs/1803.01652 (2018) - [i13]Michael Hertneck, Johannes Köhler, Sebastian Trimpe, Frank Allgöwer:
Learning an Approximate Model Predictive Controller with Guarantees. CoRR abs/1806.04167 (2018) - 2017
- [j106]Gregor Goebel, Frank Allgöwer:
New results on semi-explicit and almost explicit MPC algorithms. Autom. 65(4): 245 (2017) - [j105]Shen Zeng, Frank Allgöwer:
Structured optimal feedback in multi-agent systems: A static output feedback perspective. Autom. 76: 214-221 (2017) - [j104]Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer:
Stochastic MPC with offline uncertainty sampling. Autom. 81: 176-183 (2017) - [j103]Gregor Goebel, Frank Allgöwer:
Semi-explicit MPC based on subspace clustering. Autom. 83: 309-316 (2017) - [j102]Yuyi Liu, Sujit Rajappa, Jan Maximilian Montenbruck, Paolo Stegagno, Heinrich H. Bülthoff, Frank Allgöwer, Andreas Zell:
Robust nonlinear control approach to nontrivial maneuvers and obstacle avoidance for quadrotor UAV under disturbances. Robotics Auton. Syst. 98: 317-332 (2017) - [j101]Jan Maximilian Montenbruck, Frank Allgöwer:
Structured State Feedback Controllers and Optimal Submanifold Stabilization. SIAM J. Control. Optim. 55(4): 2393-2411 (2017) - [j100]Shen Zeng, Hideaki Ishii, Frank Allgöwer:
Sampled Observability and State Estimation of Linear Discrete Ensembles. IEEE Trans. Autom. Control. 62(5): 2406-2418 (2017) - [j99]Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer:
Constraint-Tightening and Stability in Stochastic Model Predictive Control. IEEE Trans. Autom. Control. 62(7): 3165-3177 (2017) - [j98]