Frank Allgöwer - researchr alias

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Viewing Publication 1 - 100 from 424

2024

Linearly discounted economic MPC without terminal conditions for periodic optimal operationLukas Schwenkel, Alexander Hadorn, Matthias A. Müller 0001, Frank Allgöwer. automatica, 159:111393, January 2024. [doi]

A Window-Based Periodic Event-Triggered Consensus Scheme for Multiagent SystemsMarc Seidel, Michael Hertneck, Pian Yu, Steffen Linsenmayer, Dimos V. Dimarogonas, Frank Allgöwer. tcns, 11(1):414-426, March 2024. [doi]

2023

Data-Driven Reachability Analysis From Noisy DataAmr Alanwar 0001, Anne Koch 0001, Frank Allgöwer, Karl Henrik Johansson. tac, 68(5):3054-3069, May 2023. [doi]

Data-Based Control of Feedback Linearizable SystemsMohammad Alsalti, Victor G. Lopez, Julian Berberich, Frank Allgöwer, Matthias A. Müller 0001. tac, 68(11):7014-7021, November 2023. [doi]

Consistent Event-Triggered Consensus on Complete GraphsDuarte J. Antunes, David Meister, Toru Namerikawa, Frank Allgöwer, W. P. M. H. Heemels. cdc 2023: 3911-3916 [doi]

Data-Driven Control: The conspicuous technologyAlexandre Sanfelici Bazanella, Frank Allgöwer. arc, 56:100927, January 2023. [doi]

Combining Prior Knowledge and Data for Robust Controller DesignJulian Berberich, Carsten W. Scherer, Frank Allgöwer. tac, 68(8):4618-4633, August 2023. [doi]

A quantitative and constructive proof of Willems' Fundamental Lemma and its implicationsJulian Berberich, Andrea Iannelli, Alberto Padoan, Jeremy Coulson, Florian Dörfler, Frank Allgöwer. amcc 2023: 4155-4160 [doi]

Robust Stability Analysis of a Simple Data-Driven Model Predictive Control ApproachJoscha Bongard, Julian Berberich, Johannes Köhler, Frank Allgöwer. tac, 68(5):2625-2637, May 2023. [doi]

Transient Performance of MPC for TrackingMatthias Köhler, Lisa Krügel, Lars Grüne, Matthias Albrecht Müller, Frank Allgöwer. csysl, 7:2545-2550, 2023. [doi]

Approximate Dissipativity of Cost-Interconnected Systems in Distributed Economic MPCPhilipp N. Köhler, Matthias A. Müller 0001, Frank Allgöwer. tac, 68(4):2170-2182, 2023. [doi]

Dynamic Deterministic Quality of Service Model with Behavior-Adaptive Latency BoundsRobin Laidig, Frank Dürr, Kurt Rothermel, Stefan Wildhagen, Frank Allgöwer. rtcsa 2023: 127-136 [doi]

Guarantees for data-driven control of nonlinear systems using semidefinite programming: A surveyTim Martin, Thomas B. Schön, Frank Allgöwer. arc, 56:100911, January 2023. [doi]

Data-Driven Inference on Optimal Input-Output Properties of Polynomial Systems With Focus on Nonlinearity MeasuresTim Martin, Frank Allgöwer. tac, 68(5):2832-2847, May 2023. [doi]

Performance Implications of Different p-Norms in Level-Triggered SamplingDavid Meister, Frank Allgöwer. cdc 2023: 3878-3883 [doi]

Lipschitz constant estimation for 1D convolutional neural networksPatricia Pauli, Dennis Gramlich, Frank Allgöwer. l4dc 2023: 1321-1332 [doi]

Lipschitz-Bounded 1D Convolutional Neural Networks using the Cayley Transform and the Controllability GramianPatricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer. cdc 2023: 5345-5350 [doi]

A Predictive Safety Filter for Safe Learning of Optimal Operation of Permanent Magnet Synchronous MotorsDominik Rösch, Felix Berkel, Martin Löhning, Maximilian Manderla, Raffaele Soloperto, Frank Allgöwer. eucc 2023: 1-6 [doi]

Stochastic Model Predictive Control Using Initial State and Variance InterpolationHenning Schlüter, Frank Allgöwer. cdc 2023: 6700-6706 [doi]

Model Predictive Control for Linear Uncertain Systems Using Integral Quadratic ConstraintsLukas Schwenkel, Johannes Köhler, Matthias Albrecht Müller, Frank Allgöwer. tac, 68(1):355-368, 2023. [doi]

A Nonlinear MPC Scheme for Output Tracking Without Terminal IngredientsRaffaele Soloperto, Johannes Köhler, Frank Allgöwer. tac, 68(4):2368-2375, 2023. [doi]

Guaranteed Closed-Loop Learning in Model Predictive ControlRaffaele Soloperto, Matthias A. Müller 0001, Frank Allgöwer. tac, 68(2):991-1006, February 2023. [doi]

Safe Exploration and Escape Local Minima With Model Predictive Control Under Partially Unknown ConstraintsRaffaele Soloperto, Ali Mesbah 0002, Frank Allgöwer. tac, 68(12):7530-7545, December 2023. [doi]

Control of Bilinear Systems Using Gain-Scheduling: Stability and Performance GuaranteesRobin Strässer, Julian Berberich, Frank Allgöwer. cdc 2023: 4674-4681 [doi]

Model-Based and Data-Driven Control of Event- and Self-Triggered Discrete-Time Linear SystemsXin Wang, Julian Berberich, Jian Sun 0003, Gang Wang 0014, Frank Allgöwer, Jie Chen 0003. tcyb, 53(9):6066-6079, September 2023. [doi]

Data-Driven Control of Distributed Event-Triggered Network SystemsXin Wang, Jian Sun 0003, Gang Wang, Frank Allgöwer, Jie Chen 0003. ieeejas, 10(2):351-364, 2023. [doi]

Uncertainties and Output Feedback in Rollout Event-Triggered ControlStefan Wildhagen, Frank Allgöwer. tcns, 10(3):1195-1208, September 2023. [doi]

Data-Driven Analysis and Controller Design for Discrete-Time Systems Under Aperiodic SamplingStefan Wildhagen, Julian Berberich, Michael Hertneck, Frank Allgöwer. tac, 68(6):3210-3225, June 2023. [doi]

2022

Provably Robust Verification of Dissipativity Properties from DataAnne Koch 0001, Julian Berberich, Frank Allgöwer. tac, 67(8):4248-4255, 2022. [doi]

Linear Tracking MPC for Nonlinear Systems - Part I: The Model-Based CaseJulian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer. tac, 67(9):4390-4405, 2022. [doi]

Linear Tracking MPC for Nonlinear Systems - Part II: The Data-Driven CaseJulian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer. tac, 67(9):4406-4421, 2022. [doi]

Stability in data-driven MPC: an inherent robustness perspectiveJulian Berberich, Johannes Köhler, Matthias Albrecht Müller, Frank Allgöwer. cdc 2022: 1105-1110 [doi]

Bounding the Difference Between Model Predictive Control and Neural NetworksRoss Drummond, Stephen Duncan, Mathew Turner, Patricia Pauli, Frank Allgöwer. l4dc 2022: 817-829 [doi]

Constrained Nonlinear Output Regulation Using Model Predictive ControlJohannes Köhler, Matthias A. Müller, Frank Allgöwer. tac, 67(5):2419-2434, 2022. [doi]

Determining dissipativity for nonlinear systems from noisy data using Taylor polynomial approximationTim Martin, Frank Allgöwer. amcc 2022: 1432-1437 [doi]

*David Meister, Frank Aurzada, Mikhail A. Lifshits, Frank Allgöwer. cdc 2022: 441-446 [doi]

Data-Driven Predictive Disturbance Observer for Quasi Continuum ManipulatorsDaniel Müller, Justinus Feilhauer, Jennifer Wickert, Julian Berberich, Frank Allgöwer, Oliver Sawodny. cdc 2022: 1816-1822 [doi]

Training Robust Neural Networks Using Lipschitz BoundsPatricia Pauli, Anne Koch 0001, Julian Berberich, Paul Kohler, Frank Allgöwer. csysl, 6:121-126, 2022. [doi]

Robustness analysis and training of recurrent neural networks using dissipativity theoryPatricia Pauli, Julian Berberich, Frank Allgöwer. at, 70(8):730-739, 2022. [doi]

Neural network training under semidefinite constraintsPatricia Pauli, Niklas Funcke, Dennis Gramlich, Mohamed Amine Msalmi, Frank Allgöwer. cdc 2022: 2731-2736 [doi]

Model-Free Practical Cooperative Control for Diffusively Coupled SystemsMiel Sharf, Anne Koch 0001, Daniel Zelazo, Frank Allgöwer. tac, 67(2):754-766, 2022. [doi]

Rollout event-triggered control: reconciling event- and time-triggered controlStefan Wildhagen, Frank Dürr, Frank Allgöwer. at, 70(4):331-342, 2022. [doi]

*Stefan Wildhagen, Matthias Pezzutto, Luca Schenato 0001, Frank Allgöwer. cdc 2022: 7670-7675 [doi]

2021

Determining optimal input-output properties: A data-driven approachAnne Koch 0001, Julian Berberich, Johannes Köhler, Frank Allgöwer. automatica, 134:109906, 2021. [doi]

Model predictive control for autonomous ground vehicles: a reviewShuyou Yu 0001, Matthias Hirche, Yanjun Huang, Hong Chen 0003, Frank Allgöwer. auinsy, 1(1), 2021. [doi]

Data-Driven Reachability Analysis Using Matrix ZonotopesAmr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson. l4dc 2021: 163-175 [doi]

Data-Based System Analysis and Control of Flat Nonlinear SystemsMohammad Alsalti, Julian Berberich, Victor G. Lopez, Frank Allgöwer, Matthias A. Müller. cdc 2021: 1484-1489 [doi]

Data-driven model predictive control: closed-loop guarantees and experimental resultsJulian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer. at, 69(7):608-618, 2021. [doi]

Data-Driven Model Predictive Control With Stability and Robustness GuaranteesJulian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer. tac, 66(4):1702-1717, 2021. [doi]

Efficient stability analysis approaches for nonlinear weakly-hard real-time control systemsMichael Hertneck, Steffen Linsenmayer, Frank Allgöwer. automatica, 133:109868, 2021. [doi]

Dynamic self-triggered control for nonlinear systems based on hybrid Lyapunov functionsMichael Hertneck, Frank Allgöwer. cdc 2021: 533-539 [doi]

Sampling Strategies for Data-Driven Inference of Input-Output System PropertiesAnne Koch, Jan Maximilian Montenbruck, Frank Allgöwer. tac, 66(3):1144-1159, 2021. [doi]

A Computationally Efficient Robust Model Predictive Control Framework for Uncertain Nonlinear SystemsJohannes Köhler, Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer. tac, 66(2):794-801, 2021. [doi]

Robust and optimal predictive control of the COVID-19 outbreakJohannes Köhler, Lukas Schwenkel, Anne Koch 0001, Julian Berberich, Patricia Pauli, Frank Allgöwer. arc, 51:525-539, 2021. [doi]

Distributed economic model predictive control for cooperative supply chain management using customer forecast informationPhilipp N. Köhler, Matthias A. Müller, Jürgen Pannek, Frank Allgöwer. ifacjsc, 15:100125, 2021. [doi]

Linear Weakly Hard Real-Time Control Systems: Time- and Event-Triggered StabilizationSteffen Linsenmayer, Michael Hertneck, Frank Allgöwer. tac, 66(4):1932-1939, 2021. [doi]

Controller and Triggering Mechanism Co-design for Control Over Time-Slotted NetworksSteffen Linsenmayer, Ben W. Carabelli, Stefan Wildhagen, Kurt Rothermel, Frank Allgöwer. tcns, 8(1):222-232, 2021. [doi]

Dissipativity Verification With Guarantees for Polynomial Systems From Noisy Input-State DataTim Martin, Frank Allgöwer. csysl, 5(4):1399-1404, 2021. [doi]

Dissipativity verification with guarantees for polynomial systems from noisy input-state dataTim Martin, Frank Allgöwer. amcc 2021: 3963-3968 [doi]

Offset-free setpoint tracking using neural network controllersPatricia Pauli, Johannes Köhler, Julian Berberich, Anne Koch, Frank Allgöwer. l4dc 2021: 992-1003 [doi]

Training Robust Neural Networks Using Lipschitz BoundsPatricia Pauli, Anne Koch 0001, Julian Berberich, Paul Kohler, Frank Allgöwer. amcc 2021: 2595-2600 [doi]

Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliersPatricia Pauli, Dennis Gramlich, Julian Berberich, Frank Allgöwer. cdc 2021: 3611-3618 [doi]

Multi-party computation enables secure polynomial control based solely on secret-sharingSebastian Schlor, Michael Hertneck, Stefan Wildhagen, Frank Allgöwer. cdc 2021: 4882-4887 [doi]

Data-Driven Control of Nonlinear Systems: Beyond Polynomial DynamicsRobin Strässer, Julian Berberich, Frank Allgöwer. cdc 2021: 4344-4351 [doi]

Data-Driven Controller Design via Finite-Horizon DissipativityNils Wieler, Julian Berberich, Anne Koch, Frank Allgöwer. l4dc 2021: 287-298 [doi]

Improved stability conditions for systems under aperiodic sampling: model- and data-based analysisStefan Wildhagen, Julian Berberich, Matthias Hirche, Frank Allgöwer. cdc 2021: 5795-5801 [doi]

2020

Dissipativity properties in constrained optimal control: A computational approachJulian Berberich, Johannes Köhler, Frank Allgöwer, Matthias A. Müller. automatica, 114:108840, 2020. [doi]

A trajectory-based framework for data-driven system analysis and controlJulian Berberich, Frank Allgöwer. eucc 2020: 1365-1370 [doi]

Robust Constraint Satisfaction in Data-Driven MPCJulian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer. cdc 2020: 1260-1267 [doi]

Robust data-driven state-feedback designJulian Berberich, Anne Koch, Carsten W. Scherer, Frank Allgöwer. amcc 2020: 1532-1538 [doi]

Model-Based Nonlinear Periodic Event-Triggered Control for Continuous-Time Systems with Sampled-Data PredictionMichael Hertneck, Steffen Linsenmayer, Frank Allgöwer. eucc 2020: 1814-1819 [doi]

Exploiting Information for Decentralized Periodic Event-Triggered ControlMichael Hertneck, Frank Allgöwer. cdc 2020: 4999-5004 [doi]

Distributed Model Predictive Control for Consensus of Constrained Heterogeneous Linear SystemsMatthias Hirche, Philipp N. Köhler, Matthias A. Müller, Frank Allgöwer. cdc 2020: 1248-1253 [doi]

Sample-based modeling reveals bidirectional interplay between cell cycle progression and extrinsic apoptosisDirke Imig, Nadine Pollak, Frank Allgöwer, Markus Rehm. ploscb, 16(6), 2020. [doi]

Verifying dissipativity properties from noise-corrupted input-state dataAnne Koch, Julian Berberich, Frank Allgöwer. cdc 2020: 616-621 [doi]

A Nonlinear Model Predictive Control Framework Using Reference Generic Terminal IngredientsJohannes Köhler, Matthias A. Müller, Frank Allgöwer. tac, 65(8):3576-3583, 2020. [doi]

A nonlinear tracking model predictive control scheme for dynamic target signalsJohannes Köhler, Matthias A. Müller, Frank Allgöwer. automatica, 118:109030, 2020. [doi]

Implicit solutions to constrained nonlinear output regulation using MPCJohannes Köhler, Matthias A. Müller, Frank Allgöwer. cdc 2020: 4604-4609 [doi]

Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPCYing Zhao Lian, Stefan Wildhagen, Yuning Jiang, Boris Houska, Frank Allgöwer, Colin N. Jones. cdc 2020: 685-690 [doi]

An Offline-Sampling SMPC Framework With Application to Autonomous Space ManeuversMartina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Giorgio Guglieri, Marcello Romano, Frank Allgöwer. tcst, 28(2):388-402, 2020. [doi]

Iterative data-driven inference of nonlinearity measures via successive graph approximationTim Martin, Frank Allgöwer. cdc 2020: 4760-4765 [doi]

Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network ControlJulian Nubert, Johannes Köhler, Vincent Berenz, Frank Allgöwer, Sebastian Trimpe. ral, 5(2):3050-3057, 2020. [doi]

Dynamic uncertainties in model predictive control: guaranteed stability for constrained linear systemsLukas Schwenkel, Johannes Köhler, Matthias A. Müller, Frank Allgöwer. cdc 2020: 1235-1241 [doi]

Augmenting MPC Schemes With Active Learning: Intuitive Tuning and Guaranteed PerformanceRaffaele Soloperto, Johannes Köhler, Frank Allgöwer. csysl, 4(3):713-718, 2020. [doi]

Robust Dual Control based on Gain SchedulingJanani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer. cdc 2020: 2270-2277 [doi]

Scheduling and control over networks using MPC with time-varying terminal ingredientsStefan Wildhagen, Frank Allgöwer. amcc 2020: 1913-1918 [doi]

Rollout scheduling and control for disturbed systems via tube MPCStefan Wildhagen, Frank Allgöwer. cdc 2020: 3145-3150 [doi]

2019

Event-triggered and self-triggered control for linear systems based on reachable setsFlorian David Brunner, W. P. M. H. Heemels, Frank Allgöwer. automatica, 101:15-26, 2019. [doi]

Extremum seeking for optimal enzyme production under cellular fitness constraintsWolfgang Halter, Simon Michalowsky, Frank Allgöwer. eucc 2019: 2159-2164 [doi]

Ensemble Controllability of Cellular OscillatorsKarsten Kuritz, Shen Zeng, Frank Allgöwer. csysl, 3(2):296-301, 2019. [doi]

Nonlinear Reference Tracking: An Economic Model Predictive Control PerspectiveJohannes Köhler, Matthias A. Müller, Frank Allgöwer. tac, 64(1):254-269, 2019. [doi]

Distributed model predictive control - Recursive feasibility under inexact dual optimizationJohannes Köhler, Matthias A. Müller, Frank Allgöwer. automatica, 102:1-9, 2019. [doi]

Approximate dissipativity and performance bounds for interconnected systemsPhilipp N. Köhler, Matthias A. Müller, Frank Allgöwer. eucc 2019: 787-792 [doi]

Integration of Communication Networks and Control Systems Using a Slotted Transmission Classification ModelSteffen Linsenmayer, Ben W. Carabelli, Frank Dürr, Jonathan Falk, Frank Allgöwer, Kurt Rothermel. ccnc 2019: 1-6 [doi]

Robust MPC with recursive model updateMatthias Lorenzen, Mark Cannon, Frank Allgöwer. automatica, 103:461-471, 2019. [doi]

Dissipativity and Economic Model Predictive Control for Optimal Set OperationTim Martin, Philipp N. Köhler, Frank Allgöwer. amcc 2019: 1020-1026 [doi]

One-Shot Verification of Dissipativity Properties From Input-Output DataAnne Romer, Julian Berberich, Johannes Köhler, Frank Allgöwer. csysl, 3(3):709-714, 2019. [doi]

Collision avoidance for uncertain nonlinear systems with moving obstacles using robust Model Predictive ControlRaffaele Soloperto, Johannes Köhler, Frank Allgöwer, Matthias A. Müller. eucc 2019: 811-817 [doi]

Dual Adaptive MPC for output tracking of linear systemsRaffaele Soloperto, Johannes Köhler, Matthias A. Müller, Frank Allgöwer. cdc 2019: 1377-1382 [doi]

Predictive Control Over a Dynamical Token Bucket NetworkStefan Wildhagen, Matthias A. Müller, Frank Allgöwer. csysl, 3(4):859-864, 2019. [doi]

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