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Inhalt des Dokuments

DUAN, Z.; WILMS, T.; NEUBAUER, P.; KRAVARIS, C. and BORUNAZOU, N.C.; 'Model reduction of aerobic bioprocess models for efficient simulation", Chemical Engineering Science 217 (2020): 115512,

  • GENTSCH, M:; KING, R.: 'Real-time estimation of a multi-stage centrifugal compressor performance map considering real-gas processes and flexible operation', Journal of Process Control, Volume 85, 2020, Pages 227-243, ISSN 0959-1524, https://doi.org/10.1016/j.jprocont.2019.11.006
  • GENTSCH, M:; KING, R.: 'A Low-Order Dynamic Model of Counterflow Heat Exchangers for the Purpose of Monitoring Transient and Steady-State Operating Phases', Chemical Engineering Science, 2020, S. 116241, ISSN 0009-2509, https://doi.org/10.1016/j.ces.2020.116241
  • STEINBERG, S.J. and KING,  R.: "Efficiency of Active Flow Control in an Unsteady Stator Vane Flow Field";  In Fundamentals of High Lift for Future Civil Aircraft, Springer, Cham. S. 631-648.
  • NEDDERMEYER, F. and KING, R.: "Advanced nonlinear gas phase control for autotrophic cultivations of different mutants of Ralstonia eutropha", Journal of Process Control, Issue 88, p. 10–18, 2020
  • KUNZ, J.K.; BARTHEL, L.; MEYER, V.; KING, R.: 'Vesicle transport and growth dynamics in Aspergillus niger: Microscale modeling of secretory vesicle flow and centerline extraction from confocal fluorescent data'; Biotechnology and Bioengineering, open access: onlinelibrary.wiley.com/doi/full/10.1002/bit.27452, 2020
  • KRÄMER, D., WILMS, T., KING, R.: 'Model-Based Process Optimization for the Production of Macrolactin D by Paenibacillus polymyxa'. open access: www.mdpi.com/2227-9717/8/7/752; Processes, 8, 752, 2020
  • ARNOLD, F.; TOPALOVIC, D; KING, R.: 'Efficient Implementation of a Binary
    Iterative Learning Control
    ', 21st IFAC World Congress, Germany, July 11-17, 2020
  • GENTSCH, M:; KING, R.: 'Real-Time Estimation of Parameter Maps', 21st IFAC World Congress, Germany, July 11-17, 2020
  • LANGE, A.; KING, R.: 'Discrete-Step, Quasi-Newton Extremum Seeking Control for Multivariable Real-Time Optimization'. 21st IFAC World Congress, Germany, July 11-17, 2020

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