Rolf Findeisen

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 118

Top Venues

Publications

Sebastián Espinel-Ríos, Gerrich Behrendt, Jasmin Bauer, Bruno Morabito, Johannes Pohlodek, Andrea Schütze, Rolf Findeisen, Katja Bettenbrock, Steffen Klamt
Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models. CoRR (2024)
Sebastian Hirt, Maik Pfefferkorn, Ali Mesbah, Rolf Findeisen
Stability-informed Bayesian Optimization for MPC Cost Function Learning. CoRR (2024)
Sebastian Hirt, Andreas Höhl, Joachim Schaeffer, Johannes Pohlodek, Richard D. Braatz, Rolf Findeisen
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging. CoRR (2024)
Roland Schurig, Andreas Himmel, Rolf Findeisen
Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees. ECC (2024)
Tingzhong Fu, Hoang Hai Nguyen, Rolf Findeisen
Guaranteed Collision Avoidance for Autonomous Vehicles Fusing Model Predictive Control and Data Driven Reachability Analysis. ECC (2024)
Cheng Jiang, Xue Li, Dajun Du, Lei Wu, Rolf Findeisen
Cross-Domain Authentication Scheme Based on Distributed Two-Layer Collaborative Blockchains for Cyber-Physical Power Systems. IEEE Internet Things J. 11 (10) (2024)
Minsu Kim, Joachim Schaeffer, Marc D. Berliner, Berta Pedret Sagnier, Rolf Findeisen, Richard D. Braatz
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries. CoRR (2024)
Joachim Schaeffer, Giacomo Galuppini, Jinwook Rhyu, Patrick A. Asinger, Robin Droop, Rolf Findeisen, Richard D. Braatz
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More. CoRR (2024)
Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz
Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data. Comput. Chem. Eng. 180 (2024)
Joachim Schaeffer, Eric Lenz, Duncan Gulla, Martin Z. Bazant, Richard D. Braatz, Rolf Findeisen
Lithium-Ion Battery System Health Monitoring and Fault Analysis from Field Data Using Gaussian Processes. CoRR (2024)
Philipp Holzmann, Maik Pfefferkorn, Jan Peters, Rolf Findeisen
Learning Energy-Efficient Trajectory Planning for Robotic Manipulators Using Bayesian Optimization. ECC (2024)
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, Simon Engelke
Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra. CoRR (2023)
Bahaaeldin Elsayed, Rolf Findeisen
Generic Motion Primitives-based Safe Motion Planner under Uncertainty for Autonomous Navigation in Cluttered Environments. ICAT (2023)
Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz
A Polynomial Chaos Approach to Robust Static Output-Feedback Control With Bounded Truncation Error. IEEE Trans. Autom. Control. 68 (1) (2023)
Janine Matschek, Johanna Bethge, Rolf Findeisen
Safe Machine-Learning-Supported Model Predictive Force and Motion Control in Robotics. IEEE Trans. Control. Syst. Technol. 31 (6) (2023)
Janine Matschek, Marc D. Berliner, Andreas Himmel, Richard D. Braatz, Rolf Findeisen
Necessary Optimality Conditions for Fast Lithium-ion Battery Charging via Hybrid Simulations. ACC (2023)
Bahaaeldin Elsayed, Rolf Findeisen
Trajectory Planning for Multiple Vehicles Using Motion Primitives: A Moving Horizon Approach Under Uncertainty. ICINCO (1) (2023)
Sebastián Espinel-Ríos, Bruno Morabito, Johannes Pohlodek, Katja Bettenbrock, Steffen Klamt, Rolf Findeisen
Towards a modeling, optimization and predictive control framework for fed-batch metabolic cybergenetics. CoRR (2023)
Johannes Pohlodek, H. Alsmeier, Bruno Morabito, Christian Schlauch, Anton Savchenko, Rolf Findeisen
Stochastic Model Predictive Control Utilizing Bayesian Neural Networks. CoRR (2023)
Andreas Himmel, Janine Matschek, Rudolph Kok, Bruno Morabito, Hoang Hai Nguyen, Rolf Findeisen
Machine Learning for Process Control of (Bio)Chemical Processes. CoRR (2023)
Andreas Höhl, Michael Maiworm, Rolf Findeisen
Path Following or Tracking Model Predictive Control for Towing Kites - A Question of Formulation or Learning? CCTA (2023)
Felix Laub, Christoph Haugwitz, Gianni Allevato, Julian Seiler, Rolf Findeisen, Mario Kupnik
Non-Contact Lamb Wave Defect Detection Based Solely on Air-Coupled Ultrasonic Phased Arrays. SENSORS (2023)
Jun Fu, Junfei Qiao, Kok Lay Teo, Rolf Findeisen
Guest Editorial: Special Issue on Theory, Algorithms, and Applications for Hybrid Intelligent Dynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Roland Schurig, Andreas Himmel, Rolf Findeisen
Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees. CoRR (2023)
Maik Pfefferkorn, Venkatraman Renganathan, Rolf Findeisen
Regret and Conservatism of Constrained Stochastic Model Predictive Control. CoRR (2023)
Roland Schurig, Andreas Himmel, Rolf Findeisen
Toward Grassmannian Dimensionality Reduction in MPC. IEEE Control. Syst. Lett. 7 (2023)
Johannes Pohlodek, H. Alsmeier, Bruno Morabito, Christian Schlauch, Anton Savchenko, Rolf Findeisen
Stochastic Model Predictive Control Utilizing Bayesian Neural Networks. ACC (2023)
Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz
Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data. CoRR (2023)
Bahaaeldin Elsayed, Mohamed Ibrahim, Rolf Findeisen
Moving Horizon Planning and Control Under Uncertainties with Guarantees - Combining Operational Choices and Motion Primitives. CoDIT (2023)
Janine Matschek, Johanna Bethge, Rolf Findeisen
Safe Machine-Learning-supported Model Predictive Force and Motion Control in Robotics. CoRR (2023)
Johanna Bethge, Maik Pfefferkorn, Alexander Rose, Jan Peters, Rolf Findeisen
Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles. CoRR (2023)
Roland Schurig, Andreas Himmel, Amer Mesanovic, Richard D. Braatz, Rolf Findeisen
Estimating Parameter Regions for Structured Parameter Tuning via Reduced Order Subsystem Models. ACC (2023)
Alexander Rose, Maik Pfefferkorn, Hoang Hai Nguyen, Rolf Findeisen
Learning a Gaussian Process Approximation of a Model Predictive Controller with Guarantees. CDC (2023)
Felix Häusser, Andreas Himmel, Kai S. Karvinen, Rolf Findeisen
Data-driven Adaptive Surface Control for Automated Directional Drilling. CCTA (2023)
Hoang Hai Nguyen, Maurice Friedel, Rolf Findeisen
LMI-based Data-Driven Robust Model Predictive Control. CoRR (2023)
Markus Koegel, Mohamed Ibrahim, Christian Kallies, Rolf Findeisen
Safe Hierarchical Model Predictive Control and Planning for Autonomous Systems. CoRR (2022)
Christina Eckel, Michael Maiworm, Rolf Findeisen
Optimal Operation and Control of Towing Kites using Online and Offline Gaussian Process Learning Supported Model Predictive Control. ACC (2022)
Maik Pfefferkorn, Michael Maiworm, Rolf Findeisen
Exact Multiple-Step Predictions in Gaussian Process-based Model Predictive Control: Observations, Possibilities, and Challenges. ACC (2022)
Hoang Hai Nguyen, Maik Pfefferkorn, Rolf Findeisen
High-probability stable Gaussian process-supported model predictive control for Lur'e systems. Eur. J. Control 68 (2022)
Johannes Pohlodek, Bruno Morabito, Christian Schlauch, Pablo Zometa, Rolf Findeisen
Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC. CoRR (2022)
Amer Mesanovic, Ulrich Münz, Rolf Findeisen
Scalable and Data Privacy Conserving Controller Tuning for Large-Scale Power Networks. IEEE Trans. Control. Syst. Technol. 30 (2) (2022)
Philipp Holzmann, Janine Matschek, Maik Pfefferkorn, Rolf Findeisen
Learning secure corridors for model predictive path following control of autonomous systems in cluttered environments. ECC (2022)
Tim Zieger, Hoang Hai Nguyen, Erik Schulz, Thimo Oehlschlägel, Rolf Findeisen
Non-diverging neural networks supported tube model predictive control. CDC (2022)
Bruno Morabito, Hoang Hai Nguyen, Janine Matschek, Rolf Findeisen
Safe Exploration Learning Supported Model Predictive Control of Repetitive Processes. ACC (2022)
Markus J. Kögel, Rolf Findeisen
Robust output feedback MPC with reduced conservatism for linear uncertain systems using time varying tubes. CDC (2021)
Tim Zieger, Anton Savchenko, Thimo Oehlschlägel, Rolf Findeisen
One-Step Safe Neural Network Supported Control. ACC (2021)
Michael Maiworm, Christian Wagner, Taner Esat, Philipp Leinen, Ruslan Temirov, Rolf Findeisen, F. Stefan Tautz
Control of Scanning Quantum Dot Microscopy. CoRR (2021)
Hoang Hai Nguyen, Tim Zieger, Sandra C. Wells, Anastasia Nikolakopoulou, Richard D. Braatz, Rolf Findeisen
Stability Certificates for Neural Network Learning-based Controllers using Robust Control Theory. ACC (2021)
Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz
Static Output-Feedback Control with Bounded Truncation Error. CoRR (2021)
Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters
Stochastic Control through Approximate Bayesian Input Inference. CoRR (2021)
Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz
Polynomial chaos-based H2 output-feedback control of systems with probabilistic parametric uncertainties. Autom. 131 (2021)
Markus J. Kögel, Rolf Findeisen
Reducing conservatism in stochastic model predictive blending multiple control gains. ACC (2021)
Lingyu Meng, Shuyou Yu, Huan Chang, Rolf Findeisen, Hong Chen
Path following and terminal force control of robotic manipulators. ICCA (2020)
Maik Pfefferkorn, Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen
Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy. CoRR (2020)
Janine Matschek, Tim Gonschorek, Magnus Hanses, Norbert Elkmann, Frank Ortmeier, Rolf Findeisen
Learning References with Gaussian Processes in Model Predictive Control applied to Robot Assisted Surgery. ECC (2020)
Johanna Bethge, Shuyou Yu, Rolf Findeisen
Model predictive control with guarantees for discrete linear stochastic systems subject to additive disturbances with chance constraints. ACC (2020)
Armin Nurkanovic, Amer Mesanovic, Mario Sperl, Sebastian Albrecht, Ulrich Münz, Rolf Findeisen, Moritz Diehl
Optimization-based primary and secondary control of microgrids. Autom. 68 (12) (2020)
Mohamed Ibrahim, Christian Kallies, Rolf Findeisen
Learning-Supported Approximated Optimal Control for Autonomous Vehicles in the Presence of State Dependent Uncertainties. ECC (2020)
Markus J. Kögel, Rolf Findeisen
Robust MPC with Reduced Conservatism Blending Multiples Tubes. ACC (2020)
Petar Andonov, Anton Savchenko, Philipp Rumschinski, Thomas Trenner, Jörg Neidig, Rolf Findeisen
Monitoring and verification of event-driven transportation systems in discrete manufacturing. CCTA (2020)
Amer Mesanovic, Ulrich Münz, Rolf Findeisen
Controller tuning in power systems using singular value optimization. CoRR (2020)
Maik Pfefferkorn, Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen
Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy. CDC (2020)
Gustavo Hernandez-Mejia, Alma Y. Alanis, Miguel Hernández-González, Rolf Findeisen, Esteban A. Hernández-Vargas
Passivity-Based Inverse Optimal Impulsive Control for Influenza Treatment in the Host. IEEE Trans. Control. Syst. Technol. 28 (1) (2020)
Tillmann Mühlpfordt, Rolf Findeisen, Veit Hagenmeyer, Timm Faulwasser
Errata for "Comments on Truncation Errors for Polynomial Chaos Expansions". IEEE Control. Syst. Lett. 4 (2) (2020)
Banafsheh Jabarivelisdeh, Lisa Carius, Rolf Findeisen, Steffen Waldherr
Adaptive predictive control of bioprocesses with constraint-based modeling and estimation. Comput. Chem. Eng. 135 (2020)
Janine Matschek, Reni Jordanowa, Rolf Findeisen
Direct Force Feedback using Gaussian Process based Model Predictive Control. CCTA (2020)
Hoang Hai Nguyen, Janine Matschek, Tim Zieger, Anton Savchenko, Navid Noroozi, Rolf Findeisen
Towards nominal stability certification of deep learning-based controllers. ACC (2020)
Janine Matschek, Rolf Findeisen
Learning supported Model Predictive Control for Tracking of Periodic References. L4DC (2020)
Markus J. Kögel, Rolf Findeisen
Combined online communication scheduling and output feedback MPC of cyber-physical systems. CCNC (2019)
Stefano Di Cairano, Tobias Bäthge, Rolf Findeisen
Modular Design for Constrained Control of Actuator-Plant Cascades. ACC (2019)
Janine Matschek, Tim Gonschorek, Magnus Hanses, Norbert Elkmann, Frank Ortmeier, Rolf Findeisen
Learning References with Gaussian Processes in Model Predictive Control applied to Robot Assisted Surgery. CoRR (2019)
Markus J. Kögel, Daniel E. Quevedo, Rolf Findeisen
Combined control and communication scheduling for constrained system using robust output feedback MPC. ECC (2019)
Henning Lindhorst, Sergio Lucia, Rolf Findeisen, Steffen Waldherr
Modeling Enzyme Controlled Metabolic Networks in Rapidly Changing Environments by Robust Optimization. IEEE Control. Syst. Lett. 3 (2) (2019)
Amer Mesanovic, Ulrich Münz, A. Szabo, M. Mangold, J. Bamberger, M. Metzger, C. Heyde, R. Krebs, Rolf Findeisen
Guaranteed H-infinity Controller Parameter Tuning for Power Systems: Method and Experimental Evaluation. CoRR (2019)
Seyed Hossein Mousavi, Navid Noroozi, Roman Geiselhart, Markus J. Kögel, Rolf Findeisen
On integral input-to-state stability of event-triggered control systems. CDC (2019)
Navid Noroozi, Roxanne Jackson, Daniel E. Quevedo, Fabian R. Wirth, Rolf Findeisen
On noise-to-state stability of stochastic discrete-time systems via finite-step Lyapunov functions. CDC (2019)
Petar Andonov, Anton Savchenko, Rolf Findeisen
Controller Parametrization for Offset-free Control Using Set-Based Feasibility Methods. ACC (2019)
Amer Mesanovic, Ulrich Münz, Rolf Findeisen
Scalable and Data Privacy Conserving Controller Tuning for Large-Scale Power Networks. CoRR (2019)
Michael Maiworm, Daniel Limón, Rolf Findeisen
Online Gaussian Process learning-based Model Predictive Control with Stability Guarantees. CoRR (2019)
Sergio Lucia, Denis Navarro, Oscar Lucía, Pablo Zometa, Rolf Findeisen
Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool. IEEE Trans. Ind. Informatics 14 (1) (2018)
Markus J. Kögel, Petar Andonov, Marco Filax, Frank Ortmeier, Rolf Findeisen
Predictive Tracking Control of a Camera - Head Mounted Display System subject to Communication Constraints. ECC (2018)
Khalid J. Kazim, Johanna Bethge, Janine Matschek, Rolf Findeisen
Combined Predictive Path Following and Admittance Control. ACC (2018)
Petar Andonov, Bruno Morabito, Anton Savchenko, Rolf Findeisen
Admissible Control Parametrization of Uncertain Finite-time Processes With Application to Li-ion Battery Management. ECC (2018)
Michael Kopf, Eric Bullinger, Hans-Gerd Giesseler, Stephan Adden, Rolf Findeisen
Model Predictive Control for Aircraft Load Alleviation: Opportunities and Challenges. ACC (2018)
Michael Maiworm, Christian Wagner, Ruslan Temirov, F. Stefan Tautz, Rolf Findeisen
Two-degree-of-freedom control combining machine learning and extremum seeking for fast scanning quantum dot microscopy. ACC (2018)
Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz
Output-Feedback Control Using Polynomial Chaos. ACC (2018)
Amer Mesanovic, Ulrich Münz, Joachim Bamberger, Rolf Findeisen
Controller Tuning for the Improvement of Dynamic Security in Power Systems. ISGT Europe (2018)
Amer Mesanovic, Dominik Unseld, Ulrich Münz, Christian Ebenbauer, Rolf Findeisen
Parameter Tuning and Optimal Design of Decentralized Structured Controllers for Power Oscillation Damping in Electrical Networks. ACC (2018)
Rolf Findeisen, Knut Graichen, Martin Mönnigmann
Eingebettete Optimierung in der Regelungstechnik - Grundlagen und Herausforderungen. Autom. 66 (11) (2018)
Markus J. Kögel, Rolf Findeisen
Improved Robust Decentralized MPC. ECC (2018)
Amer Mesanovic, Ulrich Münz, Rolf Findeisen
Coordinated tuning of synchronous generator controllers for power oscillation damping. ISGT Europe (2017)
Sergio Lucia, Marcello Torchio, Davide Martino Raimondo, Reinhardt Klein, Richard D. Braatz, Rolf Findeisen
Towards adaptive health-aware charging of Li-ion batteries: A real-time predictive control approach using first-principles models. ACC (2017)
Markus J. Kögel, Rolf Findeisen
Low latency output feedback model predictive control for constrained linear systems. CDC (2017)
Timm Faulwasser, Tobias Weber, Pablo Zometa, Rolf Findeisen
Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot. IEEE Trans. Control. Syst. Technol. 25 (4) (2017)
Sergio Lucia, Joel A. Paulson, Rolf Findeisen, Richard D. Braatz
On stability of stochastic linear systems via polynomial chaos expansions. ACC (2017)
Bruno Morabito, Reinhardt Klein, Rolf Findeisen
Real time feasibility and performance of moving horizon estimation for Li-ion batteries based on first principles electrochemical models. ACC (2017)
Tillmann Mühlpfordt, Rolf Findeisen, Veit Hagenmeyer, Timm Faulwasser
Comments on Truncation Errors for Polynomial Chaos Expansions. CoRR (2017)
Masako Kishida, Markus J. Kögel, Rolf Findeisen
Event-triggered actuator signal update using self-triggered sampled data for uncertain linear systems. ACC (2017)
Tobias Bäthge, Sergio Lucia, Rolf Findeisen
Exploiting models of different granularity in robust predictive control. CDC (2016)
Shuyou Yu, Ting Qu, Rolf Findeisen, Hong Chen
Model predictive control for uncertain nonlinear systems subject to chance constraints. CDC (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rolf Findeisen