Some further results on adaptive λ-tracking for linear systems with high relative degree. - Eric Bullinger; Rolf Findeisen; Frantisek Kraus; Frank Allgöwer (ACC, 2000)

Nonlinear predictive control for setpoint families. - Rolf Findeisen; Hong Chen 003; Frank Allgöwer (ACC, 2000)

Real-time feasibility of nonlinear predictive control for large scale processes-a case study. - Zoltán K. Nagy; Rolf Findeisen; Moritz Diehl; Frank Allgöwer; Hans Georg Bock; Paul Serban Agachi; Johannes P. Schlöder; Daniel B. Leineweber (ACC, 2000)

Computational feasibility and performance of nonlinear model predictive control schemes. - Rolf Findeisen; Moritz Diehl; Zoltán K. Nagy; Frank Allgöwer; Hans Georg Bock; Johannes P. Schlöder (ECC, 2001)

Efficient output feedback nonlinear model predictive control. - Rolf Findeisen; Moritz Diehl; Tobias Bürner; Frank Allgöwer; Hans Georg Bock; Johannes P. Schlöder (ACC, 2002)

Computation and performance assessment of nonlinear model predictive control. - Rolf Findeisen; Moritz Diehl; Ilknur Disli-Uslu; Stefan Schwarzkopf; Frank Allgöwer; Hans Georg Bock; Johannes P. Schlöder; Ernst Dieter Gilles (CDC, 2002)

Output feedback stabilization with nonlinear predictive control: asymptotic properties. - Lars Imsland; Rolf Findeisen; Frank Allgöwer; Bjarne A. Foss (ACC, 2003)

Stability of nonlinear model predictive control in the presence of errors due to numerical online optimization. - Moritz Diehl; Rolf Findeisen; Frank Allgöwer; Hans Georg Bock; Johannes P. Schlöder (CDC, 2003)

Stability conditions for observer based output feedback stabilization with nonlinear model predictive control. - Rolf Findeisen; Lars Imsland; Frank Allgöwer; Bjame A. Foss (CDC, 2003)

Finite time convergent observers for nonlinear systems. - Patrick Menold; Rolf Findeisen; Frank Allgöwer (CDC, 2003)

Output-feedback nonlinear model predictive control using high-gain observers in original coordinates. - Rolf Findeisen; Lars Imsland; Frank Allgöwer; Bjarne A. Foss (ECC, 2003)

State and Output Feedback Nonlinear Model Predictive Control: An Overview. - Rolf Findeisen; Lars Imsland; Frank Allgöwer (Eur. J. Control, 2003)

Model predictive control of linear continuous time singular systems subject to input constraints. - Andrey Yonchev; Rolf Findeisen; Christian Ebenbauer; Frank Allgöwer (CDC, 2004)

State Estimation for Repetitive Processes Using Iteratively Improving Moving Horizon Observers. - Ignacio Alvarado; Rolf Findeisen; Peter Kuhl; Frank Allgöwer; Daniel Limón (CDC/ECC, 2005)

Robustness Properties and Output Feedback of Optimization Based Sampled-data Open-loop Feedback. - Rolf Findeisen; Frank Allgöwer (CDC/ECC, 2005)

Results Towards Identifiability Properties of Biochemical Reaction Networks. - Marcello Farina; Rolf Findeisen; Eric Bullinger; Sergio Bittanti; Frank Allgöwer; Peter Wellstead (CDC, 2006)

Robust Output Feedback Model Predictive Control for Constrained Linear Systems under Uncertainty Based on Feed Forward and Positive Invariant Feedback Control. - David Q. Mayne; Sasa V. Rakovic; Rolf Findeisen; Frank Allgöwer (CDC, 2006)

Mathematical Modeling and Analysis of Force Induced Bone Growth. - Solvey Maldonado; Steffen Borchers; Rolf Findeisen; Frank Allgöwer (EMBC, 2006)

Robust output feedback model predictive control of constrained linear systems. - David Q. Mayne; Sasa V. Rakovic; Rolf Findeisen; Frank Allgöwer (Autom., 2006)

Optimization strategies for a MMA polymerization reactor. - Renato Lepore; Alain Vande Wouwer; Marcel Remy; Rolf Findeisen; Zoltán K. Nagy; Frank Allgöwer (Comput. Chem. Eng., 2007)

Calculating the terminal region of NMPC for Lure systems via LMIs. - Christoph Böhm 002; Tobias Raff; Rolf Findeisen; Frank Allgöwer (ACC, 2008)

Observability Based Parameter Identifiability for Biochemical Reaction Networks. - Dara Geffen; Rolf Findeisen; Monica Schliemann; Frank Allgöwer; Martin Guay (ACC, 2008)

Identifikation biochemischer Reaktionsnetzwerke: Ein beobachterbasierter Ansatz (Identification of Biochemical Reaction Networks: An Observer based Approach). - Eric Bullinger; Dirk Fey; Marcello Farina; Rolf Findeisen (Autom., 2008)

On the synchronization problem for the stabilization of networked control systems over nondeterministic networks. - Paolo Varutti; Rolf Findeisen (ACC, 2009)

A set-based framework for coherent model invalidation and parameter estimation of discrete time nonlinear systems. - Steffen Borchers; Philipp Rumschinski; Sandro Bosio; Robert Weismantel; Rolf Findeisen (CDC, 2009)

Model predictive path-following for constrained nonlinear systems. - Timm Faulwasser; Benjamin Kern; Rolf Findeisen (CDC, 2009)

Event-based model predictive control for Networked Control Systems. - Paolo Varutti; Benjamin Kern; Timm Faulwasser; Rolf Findeisen (CDC, 2009)

Predictive control for lure systems subject to constraints using LMIs. - Christoph Böhm 002; Shuyou Yu 001; Rolf Findeisen; Frank Allgöwer (ECC, 2009)

Compensating network delays and information loss by predictive control methods. - Paolo Varutti; Rolf Findeisen (ECC, 2009)

Ein prädiktiver Ansatz zur Lösung nichtlinearer Pfadverfolgungsprobleme unter Beschränkungen (A Predictive Solution to Nonlinear Path-Following Problems Subject to Constraints). - Timm Faulwasser; Rolf Findeisen (Autom., 2009)

Prädiktive Regelung nichtlinearer Systeme unter asynchronen Mess- und Stellsignalen (Nonlinear Predictive Control based on Asynchronous Measurement and Control Signals). - Timm Faulwasser; Benjamin Kern; Paolo Varutti; Rolf Findeisen (Autom., 2009)

Robust output feedback model predictive control of constrained linear systems: Time varying case. - David Q. Mayne; Sasa V. Rakovic; Rolf Findeisen; Frank Allgöwer (Autom., 2009)

Therapy Discrimination via Global Sensitivity Analysis of Force-induced Bone Growth and Adaptation. - Solvey Maldonado; Anton Savchenko; Rolf Findeisen (CCA, 2010)

State estimation of a reduced electrochemical model of a lithium-ion battery. - Reinhardt Klein; Nalin A. Chaturvedi; Jake Christensen; Jasim Ahmed; Rolf Findeisen; Aleksandar Kojic (ACC, 2010)

Event-based reduced-attention predictive control for nonlinear uncertain systems. - Paolo Varutti; Timm Faulwasser; Benjamin Kern; Markus J. Kögel; Rolf Findeisen (CACSD, 2010)

Practical set invariance for decentralized discrete time systems. - Sasa V. Rakovic; Benjamin Kern; Rolf Findeisen (CDC, 2010)

Influence of discretization errors on set-based parameter estimation. - Philipp Rumschinski; Dina Shona Laila; Steffen Borchers; Rolf Findeisen (CDC, 2010)

Set-base dynamical parameter estimation and model invalidation for biochemical reaction networks. - Philipp Rumschinski; Steffen Borchers; Sandro Bosio; Robert Weismantel; Rolf Findeisen (BMC Syst. Biol., 2010)

Fast predictive control of linear, time-invariant systems using an algorithm based on the fast gradient method and augmented Lagrange multipliers. - Markus J. Kögel; Rolf Findeisen (CCA, 2011)

Optimal charging strategies in lithium-ion battery. - Reinhardt Klein; Nalin A. Chaturvedi; Jake Christensen; Jasim Ahmed; Rolf Findeisen; Aleksandar Kojic (ACC, 2011)

Event-based NMPC for networked control systems over UDP-like communication channels. - Paolo Varutti; Rolf Findeisen (ACC, 2011)

Robust suboptimal control over lossy networks using extended input schemes. - Markus J. Kögel; Rolf Findeisen (CACSD, 2011)

Design of experiments for guaranteed parameter estimation in membership setting. - Steffen Borchers; Rolf Findeisen (CDC/ECC, 2011)

A model predictive control approach to trajectory tracking problems via time-varying level sets of Lyapunov functions. - Timm Faulwasser; Rolf Findeisen (CDC/ECC, 2011)

Fast predictive control of linear systems combining Nesterov's gradient method and the method of multipliers. - Markus J. Kögel; Rolf Findeisen (CDC/ECC, 2011)

Heterogeneity reduces sensitivity of cell death for TNF-Stimuli. - Monica Schliemann; Eric Bullinger; Steffen Borchers; Frank Allgöwer; Rolf Findeisen; Peter Scheurich (BMC Syst. Biol., 2011)

Robustness of Prediction Based Delay Compensation for Nonlinear Systems - Rolf Findeisen; Lars Grüne; Jürgen Pannek; Paolo Varutti (CoRR, 2011)

Graph problems arising from parameter identification of discrete dynamical systems. - Steffen Borchers; Sandro Bosio; Rolf Findeisen; Utz-Uwe Haus; Philipp Rumschinski; Robert Weismantel (Math. Methods Oper. Res., 2011)

Implementation aspects of model predictive control for embedded systems. - Pablo Zometa; Markus J. Kögel; Timm Faulwasser; Rolf Findeisen (ACC, 2012)

Discrete-to-continuous dynamics reconstruction for bilinear systems. - Philipp Rumschinski; Dina Shona Laila; Rolf Findeisen (CDC, 2012)

Homothetic tube model predictive control. - Sasa V. Rakovic; Basil Kouvaritakis; Rolf Findeisen; Mark Cannon (Autom., 2012)

ADMIT: a toolbox for guaranteed model invalidation, estimation and qualitative-quantitative modeling. - Stefan Streif; Anton Savchenko; Philipp Rumschinski; Steffen Borchers; Rolf Findeisen (Bioinform., 2012)

Integrating Cellular Metabolism into a Multiscale Whole-Body Model. - Markus Krauss; Stephan Schaller; Steffen Borchers; Rolf Findeisen; Jörg Lippert; Lars Kuepfer (PLoS Comput. Biol., 2012)

Parameterized Tube Model Predictive Control. - Sasa V. Rakovic; Basil Kouvaritakis; Mark Cannon; Christos Panos; Rolf Findeisen (IEEE Trans. Autom. Control., 2012)

Modeling, parameter identification and model-based control of a lightweight robotic manipulator. - Vinzenz Bargsten; Pablo Zometa; Rolf Findeisen (CCA, 2013)

Predictive path-following control: Concept and implementation for an industrial robot. - Timm Faulwasser; Janine Matschek; Pablo Zometa; Rolf Findeisen (CCA, 2013)

Nonlinear observability and identifiability of single cells in battery packs. - Matthias Rausch; Stefan Streif; Christian Pankiewitz; Rolf Findeisen (CCA, 2013)

Design of active inputs for set-based fault diagnosis. - Joseph K. Scott; Rolf Findeisen; Richard D. Braatz; Davide Martino Raimondo (ACC, 2013)

μAO-MPC: A free code generation tool for embedded real-time linear model predictive control. - Pablo Zometa; Markus J. Kögel; Rolf Findeisen (ACC, 2013)

Guaranteed diagnosability of parametric faults in nonlinear systems. - Daniel Hast; Stefan Streif; Rolf Findeisen (CDC, 2013)

Analysis and constrained control of nonlinear interconnected systems exploiting positively invariant family of sets. - Benjamin Kern; Rolf Findeisen (CDC, 2013)

Estimation of consistent parameter sets for continuous-time nonlinear systems using occupation measures and LMI relaxations. - Stefan Streif; Philipp Rumschinski; Didier Henrion; Rolf Findeisen (CDC, 2013)

On efficient predictive control of linear systems subject to quadratic constraints using condensed, structure-exploiting interior point methods. - Markus J. Kögel; Rolf Findeisen (ECC, 2013)

Outlier analysis in set-based estimation for nonlinear systems using convex relaxations. - Stefan Streif; Matthias Karl; Rolf Findeisen (ECC, 2013)

Outlier Detection for Polynomial Systems Using Semidefinite Relaxations. - Steffen Borchers; Rolf Findeisen (NOLCOS, 2013)

Stability of NMPC with Cyclic Horizons. - Markus J. Kögel; Rolf Findeisen (NOLCOS, 2013)

Electrochemical Model Based Observer Design for a Lithium-Ion Battery. - Reinhardt Klein; Nalin A. Chaturvedi; Jake Christensen; Jasim Ahmed; Rolf Findeisen; Aleksandar Kojic (IEEE Trans. Control. Syst. Technol., 2013)

Stochastic nonlinear model predictive control with probabilistic constraints. - Ali Mesbah 002; Stefan Streif; Rolf Findeisen; Richard D. Braatz (ACC, 2014)

Set-based state of charge estimation for lithium-ion batteries. - Matthias Rausch; Reinhardt Klein; Stefan Streif; Christian Pankiewitz; Rolf Findeisen (ACC, 2014)

On self-triggered reduced-attention control for constrained systems. - Markus J. Kögel; Rolf Findeisen (CDC, 2014)

Stabilization of inexact MPC schemes. - Markus J. Kögel; Rolf Findeisen (CDC, 2014)

Fast stochastic model predictive control of high-dimensional systems. - Joel A. Paulson; Ali Mesbah 002; Stefan Streif; Rolf Findeisen; Richard D. Braatz (CDC, 2014)

On MPC based trajectory tracking. - Markus J. Kögel; Rolf Findeisen (ECC, 2014)

Guaranteed active fault diagnosis for uncertain nonlinear systems. - Joel A. Paulson; Davide Martino Raimondo; Rolf Findeisen; Richard D. Braatz; Stefan Streif (ECC, 2014)

Modellbasierte Zustandsschätzung für Lithium-Ionen-Batterien. - Matthias Rausch; Reinhardt Klein; Stefan Streif; Christian Pankiewitz; Rolf Findeisen (Autom., 2014)

Constrained reachability and trajectory generation for flat systems. - Timm Faulwasser; Veit Hagenmeyer; Rolf Findeisen (Autom., 2014)

Input design for guaranteed fault diagnosis using zonotopes. - Joseph K. Scott; Rolf Findeisen; Richard D. Braatz; Davide Martino Raimondo (Autom., 2014)

Efficient Polynomial-Time Outer Bounds on State Trajectories for Uncertain Polynomial Systems Using Skewed Structured Singular Values. - Masako Kishida; Philipp Rumschinski; Rolf Findeisen; Richard D. Braatz (IEEE Trans. Autom. Control., 2014)

Discrete-time robust model predictive control for continuous-time nonlinear systems. - Markus J. Kögel; Rolf Findeisen (ACC, 2015)

On the effect of enforcing stability in model predictive control for gust load alleviation. - Michael Kopf; Hans-Gerd Giesseler; Paolo Varutti; Timm Faulwasser; Rolf Findeisen (ACC, 2015)

Parallel and distributed random coordinate descent method for convex error bound minimization. - Ion Necoara; Rolf Findeisen (ACC, 2015)

μ-based approaches to determining guaranteed consistent and inconsistent parameter sets. - Masako Kishida; Rolf Findeisen (CDC, 2015)

Robust output feedback predictive control with self-triggered measurements. - Markus J. Kögel; Rolf Findeisen (CDC, 2015)

Efficient stochastic model predictive control based on polynomial chaos expansions for embedded applications. - Sergio Lucia; Pablo Zometa; Markus J. Kögel; Rolf Findeisen (CDC, 2015)

Rate of convergence analysis of a dual fast gradient method for general convex optimization. - Andrei Patrascu; Ion Necoara; Rolf Findeisen (CDC, 2015)

Self-triggered, prediction-based control of Lipschitz nonlinear systems. - Markus J. Kögel; Rolf Findeisen (ECC, 2015)

Control on a molecular scale: A perspective. - Rolf Findeisen; Martha A. Grover; Christian Wagner 007; Michael Maiworm; Ruslan Temirov; F. Stefan Tautz; Murti V. Salapaka; Srinivasa M. Salapaka; Richard D. Braatz; S. O. Reza Moheimani (ACC, 2016)

Manipulation on a molecular level: towards controlled molecular 3D printing. - Michael Maiworm; Christian Wagner 007; F. Stefan Tautz; Rolf Findeisen (ACC, 2016)

Output feedback model predictive control with probabilistic uncertainties for linear systems. - Tillmann Muhlpfordt; Joel A. Paulson; Richard D. Braatz; Rolf Findeisen (ACC, 2016)

Exploiting models of different granularity in robust predictive control. - Tobias Bäthge; Sergio Lucia; Rolf Findeisen (CDC, 2016)

Verifying robust forward admissibility for nonlinear systems using (skewed) structured singular values. - Masako Kishida; Markus J. Kögel; Rolf Findeisen (CDC, 2016)

Model predictive control for uncertain nonlinear systems subject to chance constraints. - Shuyou Yu 001; Ting Qu; Rolf Findeisen; Hong Chen 003 (CDC, 2016)

Efficiency and performance of embedded model predictive control for active vibration attenuation. - Gergely Takács; Pablo Zometa; Rolf Findeisen; Boris Rohal-Ilkiv (ECC, 2016)

Efficient stochastic model predictive control for embedded systems based on second-order cone programs. - Pablo Zometa; Hannes Heinemann; Sergio Lucia; Markus J. Kögel; Rolf Findeisen (ECC, 2016)

Predictive control, embedded cyberphysical systems and systems of systems - A perspective. - Sergio Lucia; Markus J. Kögel; Pablo Zometa; Daniel E. Quevedo; Rolf Findeisen (Annu. Rev. Control., 2016)

Nonlinear Model Predictive Control for Constrained Output Path Following. - Timm Faulwasser; Rolf Findeisen (IEEE Trans. Autom. Control., 2016)

Event-triggered actuator signal update using self-triggered sampled data for uncertain linear systems. - Masako Kishida; Markus J. Kögel; Rolf Findeisen (ACC, 2017)

On stability of stochastic linear systems via polynomial chaos expansions. - Sergio Lucia; Joel A. Paulson; Rolf Findeisen; Richard D. Braatz (ACC, 2017)

Towards adaptive health-aware charging of Li-ion batteries: A real-time predictive control approach using first-principles models. - Sergio Lucia; Marcello Torchio; Davide Martino Raimondo; Reinhardt Klein; Richard D. Braatz; Rolf Findeisen (ACC, 2017)

Real time feasibility and performance of moving horizon estimation for Li-ion batteries based on first principles electrochemical models. - Bruno Morabito; Reinhardt Klein; Rolf Findeisen (ACC, 2017)

Low latency output feedback model predictive control for constrained linear systems. - Markus J. Kögel; Rolf Findeisen (CDC, 2017)

Coordinated tuning of synchronous generator controllers for power oscillation damping. - Amer Mesanovic; Ulrich Münz; Rolf Findeisen (ISGT Europe, 2017)

Comments on Truncation Errors for Polynomial Chaos Expansions. - Tillmann Mühlpfordt; Rolf Findeisen; Veit Hagenmeyer; Timm Faulwasser (CoRR, 2017)

Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot. - Timm Faulwasser; Tobias Weber; Pablo Zometa; Rolf Findeisen (IEEE Trans. Control. Syst. Technol., 2017)

Combined Predictive Path Following and Admittance Control. - Khalid J. Kazim; Johanna Bethge; Janine Matschek; Rolf Findeisen (ACC, 2018)

Model Predictive Control for Aircraft Load Alleviation: Opportunities and Challenges. - Michael Kopf; Eric Bullinger; Hans-Gerd Giesseler; Stephan Adden; Rolf Findeisen (ACC, 2018)

Two-degree-of-freedom control combining machine learning and extremum seeking for fast scanning quantum dot microscopy. - Michael Maiworm; Christian Wagner 007; Ruslan Temirov; F. Stefan Tautz; Rolf Findeisen (ACC, 2018)

Parameter Tuning and Optimal Design of Decentralized Structured Controllers for Power Oscillation Damping in Electrical Networks. - Amer Mesanovic; Dominik Unseld; Ulrich Münz; Christian Ebenbauer; Rolf Findeisen (ACC, 2018)

Robust Static H∞ Output-Feedback Control Using Polynomial Chaos. - Yiming Wan; Dongying E. Shen; Sergio Lucia; Rolf Findeisen; Richard D. Braatz (ACC, 2018)

Admissible Control Parametrization of Uncertain Finite-time Processes With Application to Li-ion Battery Management. - Petar Andonov; Bruno Morabito; Anton Savchenko; Rolf Findeisen (ECC, 2018)

Predictive Tracking Control of a Camera - Head Mounted Display System subject to Communication Constraints. - Markus J. Kögel; Petar Andonov; Marco Filax; Frank Ortmeier; Rolf Findeisen (ECC, 2018)

Improved Robust Decentralized MPC. - Markus J. Kögel; Rolf Findeisen (ECC, 2018)

Controller Tuning for the Improvement of Dynamic Security in Power Systems. - Amer Mesanovic; Ulrich Münz; Joachim Bamberger; Rolf Findeisen (ISGT Europe, 2018)

Eingebettete Optimierung in der Regelungstechnik - Grundlagen und Herausforderungen. - Rolf Findeisen; Knut Graichen; Martin Mönnigmann (Autom., 2018)

Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool. - Sergio Lucia; Denis Navarro; Oscar Lucía; Pablo Zometa; Rolf Findeisen (IEEE Trans. Ind. Informatics, 2018)

Controller Parametrization for Offset-free Control Using Set-Based Feasibility Methods. - Petar Andonov; Anton Savchenko; Rolf Findeisen (ACC, 2019)

Modular Design for Constrained Control of Actuator-Plant Cascades. - Stefano Di Cairano; Tobias Bäthge; Rolf Findeisen (ACC, 2019)

Combined online communication scheduling and output feedback MPC of cyber-physical systems. - Markus J. Kögel; Rolf Findeisen (CCNC, 2019)

On integral input-to-state stability of event-triggered control systems. - Seyed Hossein Mousavi; Navid Noroozi; Roman Geiselhart; Markus J. Kögel; Rolf Findeisen (CDC, 2019)

On noise-to-state stability of stochastic discrete-time systems via finite-step Lyapunov functions. - Navid Noroozi; Roxanne Jackson; Daniel E. Quevedo; Fabian R. Wirth; Rolf Findeisen (CDC, 2019)

Combined control and communication scheduling for constrained system using robust output feedback MPC. - Markus J. Kögel; Daniel E. Quevedo; Rolf Findeisen (ECC, 2019)

Guaranteed H-infinity Controller Parameter Tuning for Power Systems: Method and Experimental Evaluation. - Amer Mesanovic; Ulrich Münz; Andrei Szabo; Martin Mangold; Joachim Bamberger; Michael Metzger; Chris Heyde; Rainer Krebs; Rolf Findeisen (CoRR, 2019)

Online Gaussian Process learning-based Model Predictive Control with Stability Guarantees. - Michael Maiworm; Daniel Limón; Rolf Findeisen (CoRR, 2019)

Modeling Enzyme Controlled Metabolic Networks in Rapidly Changing Environments by Robust Optimization. - Henning Lindhorst; Sergio Lucia; Rolf Findeisen; Steffen Waldherr (IEEE Control. Syst. Lett., 2019)

Model predictive control with guarantees for discrete linear stochastic systems subject to additive disturbances with chance constraints. - Johanna Bethge; Shuyou Yu 001; Rolf Findeisen (ACC, 2020)

Robust MPC with Reduced Conservatism Blending Multiples Tubes. - Markus J. Kögel; Rolf Findeisen (ACC, 2020)

Towards nominal stability certification of deep learning-based controllers. - Hoang Hai Nguyen; Janine Matschek; Tim Zieger; Anton Savchenko; Navid Noroozi; Rolf Findeisen (ACC, 2020)

Monitoring and verification of event-driven transportation systems in discrete manufacturing. - Petar Andonov; Anton Savchenko; Philipp Rumschinski; Thomas Trenner; Jörg Neidig; Rolf Findeisen (CCTA, 2020)

Direct Force Feedback using Gaussian Process based Model Predictive Control. - Janine Matschek; Reni Jordanowa; Rolf Findeisen (CCTA, 2020)

Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy. - Maik Pfefferkorn; Michael Maiworm; Christian Wagner 007; F. Stefan Tautz; Rolf Findeisen (CDC, 2020)

Learning-Supported Approximated Optimal Control for Autonomous Vehicles in the Presence of State Dependent Uncertainties. - Mohamed Ibrahim; Christian Kallies; Rolf Findeisen (ECC, 2020)

Learning References with Gaussian Processes in Model Predictive Control applied to Robot Assisted Surgery. - Janine Matschek; Tim Gonschorek; Magnus Hanses; Norbert Elkmann; Frank Ortmeier; Rolf Findeisen (ECC, 2020)

Path following and terminal force control of robotic manipulators. - Lingyu Meng; Shuyou Yu 001; Huan Chang; Rolf Findeisen; Hong Chen 003 (ICCA, 2020)

Learning supported Model Predictive Control for Tracking of Periodic References. - Janine Matschek; Rolf Findeisen (L4DC, 2020)

Optimization-based primary and secondary control of microgrids. - Armin Nurkanovic; Amer Mesanovic; Mario Sperl; Sebastian Albrecht 001; Ulrich Münz; Rolf Findeisen; Moritz Diehl (Autom., 2020)

Adaptive predictive control of bioprocesses with constraint-based modeling and estimation. - Banafsheh Jabarivelisdeh; Lisa Carius; Rolf Findeisen; Steffen Waldherr (Comput. Chem. Eng., 2020)

Controller tuning in power systems using singular value optimization. - Amer Mesanovic; Ulrich Münz; Rolf Findeisen (CoRR, 2020)

Errata for "Comments on Truncation Errors for Polynomial Chaos Expansions". - Tillmann Mühlpfordt; Rolf Findeisen; Veit Hagenmeyer; Timm Faulwasser (IEEE Control. Syst. Lett., 2020)

Passivity-Based Inverse Optimal Impulsive Control for Influenza Treatment in the Host. - Gustavo Hernandez-Mejia; Alma Y. Alanis; Miguel Hernández-González; Rolf Findeisen; Esteban A. Hernández-Vargas (IEEE Trans. Control. Syst. Technol., 2020)

Reducing conservatism in stochastic model predictive blending multiple control gains. - Markus J. Kögel; Rolf Findeisen (ACC, 2021)

Stability Certificates for Neural Network Learning-based Controllers using Robust Control Theory. - Hoang Hai Nguyen; Tim Zieger; Sandra C. Wells; Anastasia Nikolakopoulou; Richard D. Braatz; Rolf Findeisen (ACC, 2021)

One-Step Safe Neural Network Supported Control. - Tim Zieger; Anton Savchenko; Thimo Oehlschlägel; Rolf Findeisen (ACC, 2021)

Robust output feedback MPC with reduced conservatism for linear uncertain systems using time varying tubes. - Markus J. Kögel; Rolf Findeisen (CDC, 2021)

Polynomial chaos-based H2 output-feedback control of systems with probabilistic parametric uncertainties. - Yiming Wan; Dongying E. Shen; Sergio Lucia; Rolf Findeisen; Richard D. Braatz (Autom., 2021)

A Polynomial Chaos Approach to Robust H∞ Static Output-Feedback Control with Bounded Truncation Error. - Yiming Wan; Dongying E. Shen; Sergio Lucia; Rolf Findeisen; Richard D. Braatz (CoRR, 2021)

Control of Scanning Quantum Dot Microscopy. - Michael Maiworm; Christian Wagner 007; Taner Esat; Philipp Leinen; Ruslan Temirov; Rolf Findeisen; F. Stefan Tautz (CoRR, 2021)

Stochastic Control through Approximate Bayesian Input Inference. - Joe Watson; Hany Abdulsamad; Rolf Findeisen; Jan Peters 001 (CoRR, 2021)

Optimal Operation and Control of Towing Kites using Online and Offline Gaussian Process Learning Supported Model Predictive Control. - Christina Eckel; Michael Maiworm; Rolf Findeisen (ACC, 2022)

Safe Exploration Learning Supported Model Predictive Control of Repetitive Processes. - Bruno Morabito; Hoang Hai Nguyen; Janine Matschek; Rolf Findeisen (ACC, 2022)

Exact Multiple-Step Predictions in Gaussian Process-based Model Predictive Control: Observations, Possibilities, and Challenges. - Maik Pfefferkorn; Michael Maiworm; Rolf Findeisen (ACC, 2022)

Non-diverging neural networks supported tube model predictive control. - Tim Zieger; Hoang Hai Nguyen; Erik Schulz; Thimo Oehlschlägel; Rolf Findeisen (CDC, 2022)

Learning secure corridors for model predictive path following control of autonomous systems in cluttered environments. - Philipp Holzmann; Janine Matschek; Maik Pfefferkorn; Rolf Findeisen (ECC, 2022)

Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC. - Johannes Pohlodek; Bruno Morabito; Christian Schlauch; Pablo Zometa; Rolf Findeisen (CoRR, 2022)

Safe Hierarchical Model Predictive Control and Planning for Autonomous Systems. - Markus Koegel; Mohamed Ibrahim; Christian Kallies; Rolf Findeisen (CoRR, 2022)

High-probability stable Gaussian process-supported model predictive control for Lur'e systems. - Hoang Hai Nguyen; Maik Pfefferkorn; Rolf Findeisen (Eur. J. Control, 2022)

Scalable and Data Privacy Conserving Controller Tuning for Large-Scale Power Networks. - Amer Mesanovic; Ulrich Münz; Rolf Findeisen (IEEE Trans. Control. Syst. Technol., 2022)

Necessary Optimality Conditions for Fast Lithium-ion Battery Charging via Hybrid Simulations. - Janine Matschek; Marc D. Berliner; Andreas Himmel; Richard D. Braatz; Rolf Findeisen (ACC, 2023)

Stochastic Model Predictive Control Utilizing Bayesian Neural Networks. - Johannes Pohlodek; Hendrik Alsmeier; Bruno Morabito; Christian Schlauch; Anton Savchenko; Rolf Findeisen (ACC, 2023)

Estimating Parameter Regions for Structured Parameter Tuning via Reduced Order Subsystem Models. - Roland Schurig; Andreas Himmel; Amer Mesanovic; Richard D. Braatz; Rolf Findeisen (ACC, 2023)

Data-driven Adaptive Surface Control for Automated Directional Drilling. - Felix Häusser; Andreas Himmel; Kai S. Karvinen; Rolf Findeisen (CCTA, 2023)

Path Following or Tracking Model Predictive Control for Towing Kites - A Question of Formulation or Learning? - Andreas Höhl; Michael Maiworm; Rolf Findeisen (CCTA, 2023)

Learning a Gaussian Process Approximation of a Model Predictive Controller with Guarantees. - Alexander Rose 002; Maik Pfefferkorn; Hoang Hai Nguyen; Rolf Findeisen (CDC, 2023)

Moving Horizon Planning and Control Under Uncertainties with Guarantees - Combining Operational Choices and Motion Primitives. - Bahaaeldin Elsayed; Mohamed Ibrahim; Rolf Findeisen (CoDIT, 2023)

Generic Motion Primitives-based Safe Motion Planner under Uncertainty for Autonomous Navigation in Cluttered Environments. - Bahaaeldin Elsayed; Rolf Findeisen (ICAT, 2023)

Trajectory Planning for Multiple Vehicles Using Motion Primitives: A Moving Horizon Approach Under Uncertainty. - Bahaaeldin Elsayed; Rolf Findeisen (ICINCO (1), 2023)

Non-Contact Lamb Wave Defect Detection Based Solely on Air-Coupled Ultrasonic Phased Arrays. - Felix Laub; Christoph Haugwitz; Gianni Allevato; Julian Seiler; Rolf Findeisen; Mario Kupnik (SENSORS, 2023)

Machine Learning for Process Control of (Bio)Chemical Processes. - Andreas Himmel; Janine Matschek; Rudolph Kok; Bruno Morabito; Hoang Hai Nguyen; Rolf Findeisen (CoRR, 2023)

Towards a modeling, optimization and predictive control framework for fed-batch metabolic cybergenetics. - Sebastián Espinel-Ríos; Bruno Morabito; Johannes Pohlodek; Katja Bettenbrock; Steffen Klamt; Rolf Findeisen (CoRR, 2023)

Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra. - Joachim Schaeffer; Paul Gasper; Esteban García Tamayo; Raymond Gasper; Masaki Adachi; Juan Pablo Gaviria-Cardona; Simon Montoya-Bedoya; Anoushka Bhutani; Andrew Schiek; Rhys Goodall; Rolf Findeisen; Richard D. Braatz; et al. (CoRR, 2023)

Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles. - Johanna Bethge; Maik Pfefferkorn; Alexander Rose 002; Jan Peters 001; Rolf Findeisen (CoRR, 2023)

LMI-based Data-Driven Robust Model Predictive Control. - Hoang Hai Nguyen; Maurice Friedel; Rolf Findeisen (CoRR, 2023)

Regret and Conservatism of Constrained Stochastic Model Predictive Control. - Maik Pfefferkorn; Venkatraman Renganathan; Rolf Findeisen (CoRR, 2023)

Toward Grassmannian Dimensionality Reduction in MPC. - Roland Schurig; Andreas Himmel; Rolf Findeisen (IEEE Control. Syst. Lett., 2023)

A Polynomial Chaos Approach to Robust Static Output-Feedback Control With Bounded Truncation Error. - Yiming Wan; Dongying E. Shen; Sergio Lucia; Rolf Findeisen; Richard D. Braatz (IEEE Trans. Autom. Control., 2023)

Guest Editorial: Special Issue on Theory, Algorithms, and Applications for Hybrid Intelligent Dynamic Optimization. - Jun Fu 001; Junfei Qiao 001; Kok Lay Teo; Rolf Findeisen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Safe Machine-Learning-Supported Model Predictive Force and Motion Control in Robotics. - Janine Matschek; Johanna Bethge; Rolf Findeisen (IEEE Trans. Control. Syst. Technol., 2023)

Neural Horizon Model Predictive Control - Increasing Computational Efficiency with Neural Networks. - Hendrik Alsmeier; Anton Savchenko; Rolf Findeisen (ACC, 2024)

Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries. - Minsu Kim; Joachim Schaeffer; Marc D. Berliner; Berta Pedret Sagnier; Rolf Findeisen; Richard D. Braatz (ACC, 2024)

Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control. - Maik Pfefferkorn; Venkatraman Renganathan; Rolf Findeisen (ACC, 2024)

Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More. - Joachim Schaeffer; Giacomo Galuppini; Jinwook Rhyu; Patrick A. Asinger; Robin Droop; Rolf Findeisen; Richard D. Braatz (ACC, 2024)

Surrogate Model Supported Optimization of high-definition Temporal Interference Stimulation. - Keivan Ahmadi; Rudolph L. Kok; Rolf Findeisen (BioCAS, 2024)

Imitation Learning of MPC with Neural Networks: Error Guarantees and Sparsification. - Hendrik Alsmeier; Lukas Theiner; Anton Savchenko; Ali Mesbah 002; Rolf Findeisen (CDC, 2024)

Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control. - Sebastian Hirt; Maik Pfefferkorn; Rolf Findeisen (CDC, 2024)

Probabilistically Input-to-State Stable Stochastic Model Predictive Control. - Maik Pfefferkorn; Rolf Findeisen (CDC, 2024)

On State Reconstruction for Linear Reduced-Order Output Feedback Optimal Control. - Roland Schurig; Eric Lenz; Andreas Himmel; Rolf Findeisen (CDC, 2024)

Guaranteed Collision Avoidance for Autonomous Vehicles Fusing Model Predictive Control and Data Driven Reachability Analysis. - Tingzhong Fu; Hoang Hai Nguyen; Rolf Findeisen (ECC, 2024)

Learning Energy-Efficient Trajectory Planning for Robotic Manipulators Using Bayesian Optimization. - Philipp Holzmann; Maik Pfefferkorn; Jan Peters 001; Rolf Findeisen (ECC, 2024)

Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees. - Roland Schurig; Andreas Himmel; Rolf Findeisen (ECC, 2024)

Moving Horizon Planning and Control for Autonomous Vehicles with Active Exploration and Fallback Strategies. - Mohamed Soliman; Rolf Findeisen (ICINCO (1), 2024)

Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models. - Sebastián Espinel-Ríos; Gerrich Behrendt; Jasmin Bauer; Bruno Morabito; Johannes Pohlodek; Andrea Schütze; Rolf Findeisen; Katja Bettenbrock; Steffen Klamt (CoRR, 2024)

Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging. - Sebastian Hirt; Andreas Höhl; Joachim Schaeffer; Johannes Pohlodek; Richard D. Braatz; Rolf Findeisen (CoRR, 2024)

Stability-informed Bayesian Optimization for MPC Cost Function Learning. - Sebastian Hirt; Maik Pfefferkorn; Ali Mesbah 002; Rolf Findeisen (CoRR, 2024)

Lithium-Ion Battery System Health Monitoring and Fault Analysis from Field Data Using Gaussian Processes. - Joachim Schaeffer; Eric Lenz; Duncan Gulla; Martin Z. Bazant; Richard D. Braatz; Rolf Findeisen (CoRR, 2024)

Safe and High-Performance Learning of Model Predicitve Control using Kernel-Based Interpolation. - Alexander Rose 002; Philipp Schaub; Rolf Findeisen (CoRR, 2024)

Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control. - Sebastian Hirt; Lukas Theiner; Rolf Findeisen (CoRR, 2024)

Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data. - Joachim Schaeffer; Eric Lenz; William C. Chueh; Martin Z. Bazant; Rolf Findeisen; Richard D. Braatz (Comput. Chem. Eng., 2024)

Cross-Domain Authentication Scheme Based on Distributed Two-Layer Collaborative Blockchains for Cyber-Physical Power Systems. - Cheng Jiang; Xue Li 028; Dajun Du; Lei Wu 004; Rolf Findeisen (IEEE Internet Things J., 2024)

Lithium-Ion Battery Field Data: 28 LFP battery systems with 8 cells in series, up to 5 years of operation. - Joachim Schaeffer; Eric Lenz; Duncan Gulla; Martin Z. Bazant; Richard D. Braatz; Rolf Findeisen (Zenodo, 2024)

Model Predictive Control With Guaranteed Feasibility of Inequality Path Constraints. - Jun Fu 001; Yanhui Liu; Rolf Findeisen; Tianyou Chai (IEEE Trans. Cybern., 2024)

Safe Physics-informed Machine Learning for Dynamics and Control. - Ján Drgona; Truong X. Nghiem; Thomas Beckers 001; Mahyar Fazlyab; Enrique Mallada; Colin N. Jones; Draguna L. Vrabie; Steven L. Brunton; Rolf Findeisen (ACC, 2025)

Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging. - Sebastian Hirt; Andreas Höhl; Johannes Pohlodek; Joachim Schaeffer; Maik Pfefferkorn; Richard D. Braatz; Rolf Findeisen (ACC, 2025)

Safe and High-Performance Learning of Model Predictive Control using Kernel-Based Interpolation. - Alexander Rose 002; Philipp Schaub; Rolf Findeisen (ACC, 2025)

Interpretation of high-dimensional regression coefficients by comparison with linearized compressing features. - Joachim Schaeffer; Jinwook Rhyu; Robin Droop; Rolf Findeisen; Richard D. Braatz (Comput. Chem. Eng., 2025)

Design-of-experiments based modeling & optimization of LGA cooling crystallization via continuous oscillatory baffled crystallizer. - Mingyan Zhao; Tao Liu 002; Bo Song; Jianping Fan 002; Xiongwei Ni; Rolf Findeisen (Comput. Chem. Eng., 2025)

Exploiting Prior Knowledge in Preferential Learning of Individualized Autonomous Vehicle Driving Styles. - Lukas Theiner; Sebastian Hirt; Alexander Steinke; Rolf Findeisen (CoRR, 2025)

A Modular Energy Aware Framework for Multicopter Modeling in Control and Planning Applications. - Sebastian Gasche; Christian Kallies; Andreas Himmel; Rolf Findeisen (CoRR, 2025)

Energy Aware and Safe Path Planning for Unmanned Aircraft Systems. - Sebastian Gasche; Christian Kallies; Andreas Himmel; Rolf Findeisen (CoRR, 2025)

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment. - Yongpeng Zhao; Maik Pfefferkorn; Maximilian Templer; Rolf Findeisen (CoRR, 2025)

Privacy Preservation for Cloud-Edge-Collaborative Energy Management System Using Post-Quantum Homomorphic Encryption. - Cheng Jiang; Xue Li 028; Dajun Du; Hong Qian; Mi Wen; Lei Wu 004; Rolf Findeisen (IEEE Trans. Smart Grid, 2025)

A Hierarchical Surrogate Model for Efficient Multi-Task Parameter Learning in Closed-Loop Control. - Sebastian Hirt; Lukas Theiner; Maik Pfefferkorn; Rolf Findeisen (CoRR, 2025)