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Year:        Type:  

Articles

  1. J. Müller, S. Leonow, J. Schulz, C. Hansen, and M. Mönnigmann. Wear dependent virtual flow rate sensor for progressing cavity pumps with deformable stator. Petroleum Science, 2023. more.. 
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  1. J. Sinnemann, M. Boshoff, R. Dyrska, S. Leonow, M. Mönnigmann, and B. Kuhlenkötter. Systematic literature review of applications and usage potentials for the combination of unmanned aerial vehicles and mobile robot manipulators in production systems. Production Engineering: 579-596, 2022. more.. 
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  1. J. Müller, Y. Kouhi, S. Leonow, and M. Mönnigmann. Modeling pressure pulsation and backflow in progressing cavity pumps with deformable stator. Journal of Petroleum Science and Engineering, 203: 108402, 2021.
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Articles in conference proceedings

  1. S. Leonow, Q. Zhang and M. Mönnigmann. A flow rate soft sensor for pumps with complex characteristics. 14th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS) 2025 (submitted), 2025.
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  1. S. Leonow, Q. Zhang and M. Mönnigmann. A Modular Soft Sensor for Centrifugal Pumps. Accepted to the 12th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2024), 2024.
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  1. R. Dyrska, S. Leonow, M. Fikar, and M. Mönnigmann. A Feasibility Condition for the Governor-based Tuning of Explicit MPC: Application to a Hydraulic Plant. Accepted to the 12th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2024), 2024.
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  1. S. Leonow, R. Dyrska and M. Mönnigmann. Embedded Implementation of a Neural Network Controller emulating Nonlinear MPC in a process control application. Proceedings to the European Control Conference (ECC) 2023: 934-939, 2023. more.. 
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  1. J. Müller, S. Leonow, and M. Mönnigmann. Optimal stator adjustment with minimal sensor requirements for variable stator progressing cavity pumps. Accepted to the IFAC World Congress 2023, 2023.
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  1. M. Hampe, S. Leonow and M. Mönnigmann. Online Optimal Tuning of Relay Feedback Controllers for a class of Second-Order Systems with Limited Measurements. accepted for 13th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS): 981-986, 2022. more.. 
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  1. J. Müller, S. Leonow, J. Schulz, C. Hansen and M. Mönnigmann. Online wear detection for joints in progressing cavity pumps. Proceedings of the 16th IFAC Symposium on Advanced Control of Chemical Processes: 188-193, 2021. more.. 
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  1. J. Müller, S. Leonow, J. Schulz, C. Hansen and M. Mönnigmann. Adaptive flow rate calculation for progressing cavity pumps. 23rd International Conference on Process Control (PC): 194-199, 2021.
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  1. S. Leonow and M. Mönnigmann. Adaptive control for systems with two binary measurements. IFAC-PapersOnLine, 53(2): 3779-3784, 2020. more.. 
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  1. J. Müller, Y. Kouhi, S. Leonow, and M. Mönnigmann. Wear detection for progressing cavity pumps with system identification methods. Proceedings of the 21st IFAC World Congress: 13650-13655, 2020.
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  1. J. Stoppok, D. Dillkötter, M. Thiele, C. Esen, S. Leonow, and M. Mönnigmann. Working Distance-Based Feedforward Control for Weld Bead Height Control in Directed Energy Deposition. IFAC-PapersOnLine, 53(2): 11806-11811, 2020.
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  1. Y. Kouhi, J. Müller, S. Leonow, and M. Mönnigmann. Speed and torque estimation of variable frequency drives with effective values of stator currents. Proceedings of the 21st IFAC World Congress: 8744-8749, 2020. more.. 
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  1. S. Leonow and M. Mönnigmann. A self learning binary controller for increased control performance. Proceedings of the 18th European Control Conference 2019, Naples: 3632-3637, 2019. more.. 
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  1. S. Leonow, T. Gunder and M. Mönnigmann. A self-learning binary controller for energy efficient pump operation. Proceedings of the 4th International Rotating Equipment Conference 2019 (IREC19), Wiesbaden: 1-10, 2019.
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  1. J. Müller, S. Leonow, J. Schulz, Ch. Hansen, and M. Mönnigmann. Towards model-based condition monitoring for progressing cavity pumps. Proceedings of the 4th International Rotating Equipment Conference 2019 (IREC19), Wiesbaden: 1-10, 2019.
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  1. S. Leonow, F. Wollenhaupt and M. Mönnigmann. Combined flow and pressure control for industrial pumps with simple adaptive MPC. Proceedings of the 21st International Conference on Process Control (PC17), High Tatras: 315-320, 2017. more.. 
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  1. S. Leonow and M. Mönnigmann. Operating point estimation in hydraulic turbomachines with non-invertible characteristics. Proceedings of the European Control Conference 2016 (ECC16), Aalborg: 2381-2385, 2016. more.. 
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  1. S. Leonow and M. Mönnigmann. A smart pump prototype for increased energy efficiency. Proceedings of the International Rotating Equipment Conference 2016 (IREC16), Düsseldorf: 841-851, 2016.
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  1. S. Leonow and M. Mönnigmann. Automatic controller tuning for soft sensor based flow rate control. Proceedings of the 19th IFAC World Congress, Cape Town: 5229-5234, 2014. more.. 
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  1. S. Leonow and M. Mönnigmann. Soft sensor based dynamic flow rate estimation in low speed radial pumps. European Control Conference 2013, Zurich: 778-783, 2013. more.. 
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  1. S. Leonow and M. Mönnigmann. Automatic identification and controller synthesis for fluid level control using soft sensing. IFAC Symposium on Dynamics and Control of Process Systems 2013, Mumbai: 732-737, 2013. more.. 
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Conference contributions

  1. S. Leonow and M. Mönnigmann. Softsensorbasierte Durchflussschätzung zur kostengünstigen Regelung von Kreiselpumpen.  Regelungstechnisches Kolloquium, Boppard, 19.-21. Februar 2014
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  1. S. Leonow and M. Mönnigmann. Entwurf modellprädiktiver Regelungen für Speicherkraftwerke.  ProcessNet-Jahrestagung 2012, Karlsruhe, 10.-13. September 2012 (accepted) more.. 
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Miscellaneous

  1. Y. Kouhi, J. Müller, S. Leonow, and M. Mönnigmann. Estimating load points of a motor-pump system using pressure and inverter drive data. more..   arXiv.org.
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  1. S. Leonow and M. Mönnigmann. Adaptiver Zweipunktregler und Verfahren zur adaptiven Zweipunktregelung.  DE 10 2018 004 989 B3.
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