Dieses Bild zeigt  Philipp Wenzelburger

Herr M.Sc.

Philipp Wenzelburger

Wissenschaftlicher Mitarbeiter
Institut für Systemtheorie und Regelungstechnik

Kontakt

+49 711 685-67754
+49 711 685-67735

Pfaffenwaldring 9
70569 Stuttgart
Deutschland
Raum: 3.244

Sprechstunde

Auf Anfrage in meinem persönlichen Webex Raum.

Fachgebiet

Ich beschäftige mich mit der Analyse von Fragestellungen aus dem Themenfeld von Industrie 4.0 mit systemtheoretischen und regelungstechnischen Methoden. Insbesondere setze ich mich damit auseinander, wie Modellprädiktive Regelung für die Planung und Regelung von Fertigungsprozessen verwendet werden kann.

  1. (Zeitschriften-) Aufsätze

    1. Pauli, P., Koch, A., Berberich, J., Kohler, P., & Allgöwer, F. (2021). Training Robust Neural Networks using Lipschitz Bounds. IEEE Control Systems Lett., 6, 121–126. https://doi.org/10.1109/LCSYS.2021.3050444
    2. Henriquez-Auba, R., Hidalgo-Gonzalez, P., Pauli, P., Kalathil, D., Callaway, D. S., & Poolla, K. (2021). Sharing economy and optimal investment decisions for distributed solar generation. Applied Energy, 294, 117029. https://doi.org/10.1016/j.apenergy.2021.117029
    3. Köhler, J., Schwenkel, L., Koch, A., Berberich, J., Pauli, P., & Allgöwer, F. (2020). Robust and optimal predictive control of the COVID-19 outbreak. Annual reviews in Control.
    4. Allgöwer, F., de Sousa, J. B., Kapinski, J., Mosterman, P., Oehlerking, J., Panciatici, P., Prandini, M., Rajhans, A., Tabuada, P., & Wenzelburger, P. (2019). Position paper on the challenges posed by modern applications to cyber-physical systems theory. Nonlinear Analysis: Hybrid Systems, 34, 147–165. https://doi.org/10.1016/j.nahs.2019.05.007
    5. Brunner, F. D., Heemels, W. P. M. H., & Allgöwer, F. (2019). Event-triggered and self-triggered control for linear systems based on reachable sets. Automatica, 101, 15–26.
    6. Medvedev, A., Mattsson, P., Zhusubaliyev, Zh. T., & Avrutin, V. (2018). Nonlinear dynamics and entrainment in a continuously forced pulse-modulated model of testosterone regulation. Nonlinear Dynamics, 94(2), 1165–1181. https://doi.org/10.1007/s11071-018-4416-6
    7. Danish, L., Imig, D., Allgöwer, F., Scheurich, P., & Pollak, N. (2018). Bcl-2-mediated control of TRAIL-induced apoptotic response in the non-small lung cancer cell line NCI-H460 is effective at late caspase processing steps. PLoS One, 13(6), Article 6. https://doi.org/10.1371/journal.pone.0198203
    8. Listmann, K. D., Wenzelburger, P., & Allgöwer, F. (2016). Industrie 4.0 - (R)evolution ohne Regelungstechnik? at-Automatisierungstechnik, 64(7), 507–520. https://doi.org/10.1515/auto-2016-0039
    9. Listmann, K. D., Wenzelburger, P., & Allgöwer, F. (2016). Industrie 4.0 - (R)evolution without Control Technologies? J. of The Society of Instrument and Control Engineers, 55(7), 555–565. https://doi.org/10.11499/sicejl.55.555
    10. Weber, P., Hornjik, M., Olayioye, M. A., Hausser, A., & Radde, N. (2015). A computational model of PKD and CERT interactions at the trans-Golgi network of mammalian cells. BMC Sys. Biol., 9(1), 147.
    11. Seyboth, G., Dimarogonas, D. V., Johansson, K. H., Frasca, P., & Allgöwer, F. (2015). On Robust Synchronization of Heterogeneous Linear Multi-Agent Systems with Static Couplings. Automatica, 53, 392–399.
    12. Imig, D., Pollak, N., Strecker, T., Scheurich, P., Allgöwer, F., & Waldherr, S. (2015). An individual-based simulation framework for dynamic, heterogeneous cell populations during extrinsic stimulations. J. Coupled Syst. Multiscale Dyn., 3(2), 143–155.
    13. Schuler, S., Schlipf, D., Cheng, P. W., & Allgöwer, F. (2013). $\ell_1$-Optimal Control of Large Wind Turbines. IEEE Trans. Cont. Sys. Tech., 21(4), 1079–1089.
    14. Thomaseth, C., Weber, P., Hamm, T., Kashima, K., & N., R. (2013). Modeling sphingomyelin synthase 1 driven reaction at the Golgi apparatus can explain data by inclusion of a positive feedback mechanism. J. Theor. Biol., 337, 174–180.
    15. Wieland, P., Wu, J., & Allgöwer, F. (2013). On synchronous steady states and internal models of diffusively coupled systems. IEEE Trans. Automat. Control, 58(10), 2591–2602.
    16. Daub, M., Waldherr, S., Allgöwer, F., Scheurich, P., & Schneider, G. (2012). Death wins against life in a spatially extended model of the caspase-3/8 feedback loop. Biosystems, 108, 45–51.
    17. Hasenauer, J., Heinrich, J., Doszczak, M., Scheurich, P., Weiskopf, D., & Allgöwer, F. (2012). A visual analytics approach for models of heterogeneous cell populations. EURASIP J. Bioinformatics and Systems Biology, 2012(2012), 4.
    18. Müller, M. A., Martius, P., & Allgöwer, F. (2012). Model predictive control of switched nonlinear systems under average dwell-time. J. Proc. Contr., 22(9), 1702–1710.
    19. Wieland, P., Sepulchre, R., & Allgöwer, F. (2011). An internal model principle is necessary and sufficient for linear output synchronization. Automatica, 47(5), 1068–1074.
    20. Hasenauer, J., Waldherr, S., Doszczak, M., Radde, N., Scheurich, P., & Allgöwer, F. (2011). Analysis of heterogeneous cell populations: A density-based modeling and identification framework. J. Proc. Contr., 21(10), 1417–1425.
    21. Hasenauer, J., Waldherr, S., Doszczak, M., Radde, N., Scheurich, P., & Allgöwer, F. (2011). Identification of models of heterogeneous cell populations from population snapshot data. BMC Bioinf., 12, 125.
    22. Schliemann, M., Bullinger, E., Borchers, E., Allgöwer, F., Findeisen, R., & Scheurich, P. (2011). Heterogeneity Reduces Sensitivity of Cell Death for TNF-Stimuli. BMC Sys. Biol., 5(1), 204.
    23. Schuler, S., Li, P., Lam, J., & Allgöwer, F. (2011). Design of Structured Dynamic Output Feedback Controllers for Interconnected Systems. Int. J. Control, 84(12), 2081–2091.
    24. Hasenauer, J., Rumschinski, P., Waldherr, S., Borchers, S., Allgöwer, F., & Findeisen, R. (2010). Guaranteed steady state bounds for uncertain (bio-)chemical processes using infeasibility certificates. J. Proc. Contr., 20(9), 1076–1083.
    25. Hasenauer, J., Waldherr, S., Radde, N., Doszczak, M., Scheurich, P., & Allgöwer, F. (2010). A maximum likelihood estimator for parameter distributions in heterogeneous cell populations. Procedia Computer Science, 1(1), 1649–1657.
    26. Wieland, P., Kim, J.-S., & Allgöwer, F. (2010). On topology and dynamics of consensus among linear high-order agents. Int. J. Systems Science, 42(10), 1831–1842.
    27. Münz, U., & Zufiria, P. J. (2009). Diagnosis of unknown parametric faults in non-linear stochastic dynamical systems. Int. J. Control, 82(4), 603–619.
    28. Eißing, T., Waldherr, S., Allgöwer, F., Scheurich, P., & Bullinger, E. (2007). Response to Bistability in Apoptosis: Roles of Bax, Bcl-2, and Mitochondrial Permeability Transition Pores. Biophysical J., 92(9), 3332–3334.
    29. Eißing, T., Waldherr, S., Allgöwer, F., Scheurich, P., & Bullinger, E. (2007). Steady state and (bi-) stability evaluation of simple protease signalling networks. BioSystems, 90(3), 591–601.
    30. Münz, U., Schumm, P., Wiesebrock, A., & Allgöwer, F. (2007). Motivation and Learning Progress through Educational Games. IEEE Trans. Industrial Electronics, 54(6), 3141–3144.
    31. Bars, R., Colaneri, P., de Souza, C. E., Dugard, L., Allgöwer, F., Kleimenov, A., & Scherer, C. (2006). Theory, algorithms and technology in the design of control systems. Annual Reviews in Control, 30, 19–30.
    32. Eißing, T., Conzelmann, H., Gilles, E. D., Allgöwer, F., Bullinger, E., & Scheurich, P. (2004). Bistability analyses of a caspase activation model for receptor induced apoptosis. J. Biol. Chem., 279(35), 36892–36897.
    33. Schumm, P., Schweickhardt, T., Bullinger, E., & Allgöwer, F. (2004). Integration und Interaktion: Möglichkeiten des Einsatzes von Notebook und Internet in der regelungstechnischen Ausbildung. at-Automatisierungstechnik, 2(2), 81–89.
  2. Beiträge in Sammelband

    1. Waldherr, S., Hasenauer, J., Doszczak, M., Scheurich, P., & Allgöwer, F. (2011). Global uncertainty analysis for a model of TNF-induced NF-$\kappa$B signalling. In J. Levine & P. Müllhaupt (Hrsg.), Advances in the Theory of Control, Signals and Systems with Physical Modeling (Bd. 407, S. 365–377). Springer Berlin / Heidelberg.
  3. Konferenzbeiträge

    1. Pauli, P., Koch, A., & Allgöwer, F. (2020, Juli). Smartphone Apps for Learning Progress and Course Revision. Proc.\ 21st IFAC World Congress.
    2. Koch, A., Lorenzen, M., Pauli, P., & Allgöwer, F. (2020). Facilitating learning progress in a first control course via Matlab apps. Proc. 21st IFAC World Congress, 17356–17361. https://doi.org/10.1016/j.ifacol.2020.12.2086
    3. Müller, E., Köhler, P. N., Pettersen, K. Y., & Allgöwer, F. (2020). Economic model predictive control for obstacle-aided snake robot locomotion. Proc. 21st IFAC World Congress.
    4. Hirche, M., Köhler, P. N., Müller, M. A., & Allgöwer, F. (2020). Distributed Model Predictive Control for Consensus of Constrained Heterogeneous Linear Systems. Proc. 59th IEEE Conf. Decision and Control (CDC), 1248–1253. https://doi.org/10.1109/CDC42340.2020.9303838
    5. Nonhoff, M., Köhler, P. N., & Allgöwer, F. (2019). Economic model predictive control for snake robot locomotion. Proc. 58th IEEE Conference on Decision and Control (CDC).
    6. Köhler, P. N., Müller, M. A., & Allgöwer, F. (2019). Graph topology and subsystem centrality in approximately dissipative system interconnections. Proc. 58th IEEE Conference on Decision and Control (CDC), 7441–7447.
    7. Wenzelburger, P., & Allgöwer, F. (2019). A Petri Net Modeling Framework for the Control of Flexible Manufacturing Systems. Proc. 9th IFAC Conf. Manufacturing Modeling, Management, and Control (MIM), 492–498. https://doi.org/10.1016/j.ifacol.2019.11.111
    8. Martin, T., Köhler, P. N., & Allgöwer, F. (2019). Dissipativity and Economic Model Predictive Control for Optimal Set Operation. Proc. American Control Conf. (ACC), 1020–1026. https://doi.org/10.23919/ACC.2019.8814305
    9. Köhler, P. N., Müller, M. A., & Allgöwer, F. (2019). Approximate dissipativity and performance bounds for interconnected systems. Proc. 18th European Control Conference (ECC), 787–792.
    10. Wenzelburger, P., & Allgöwer, F. (2019). A Novel Optimal Online Scheduling Scheme for Flexible Manufacturing Systems. Proc. 13th IFAC Workshop on Intelligent Manufacturing Systems (IMS), 1–6. https://doi.org/10.1016/j.ifacol.2019.10.002
    11. Köhler, P. N., Müller, M. A., & Allgöwer, F. (2018). Interconnections of dissipative systems and distributed economic MPC. Proc. 6th IFAC Conference on Nonlinear Model Predictive Control, 88–93.
    12. Brunner, F. D., Heemels, W. P. M. H., & Allgöwer, F. (2016). Dynamic Thresholds in Robust Event-Triggered Control for Discrete-Time Linear Systems. Proc. European Control Conf. (ECC), 983–988.
    13. Brunner, F. D., Heemels, W. P. M. H., & Allgöwer, F. (2016). $\gamma$-Invasive Event-triggered and Self-triggered Control for Perturbed Linear Systems. Proc. 55th IEEE Conf. Decision and Control (CDC), 1346–1351.
    14. Brunner, F. D., Heemels, W. P. . M. H., & Allgöwer, F. (2016). Numerical Evaluation of a Robust Self-Triggered MPC Algorithm. Proc. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), 49(22), 151–156.
    15. Köhler, P. N., Müller, M. A., & Allgöwer, F. (2016). A distributed economic MPC scheme for coordination of self-interested systems. Proc. American Control Conf. (ACC), 889–894.
    16. Köhler, P. N., & Dimarogonas, D. V. (2016). On topological conditions to maintain leader-follower connectivity in double-integrator multi-agent systems. Proc. 24th Mediterranean Conf. Control and Automation (MED), 767–772.
    17. Zuyev, A., Grushkovskaya, V., & Benner, P. (2016). Time-varying stabilization of a class of driftless systems satisfying second-order controllability conditions. Proc. European Control Conf. (ECC), 575–580. https://doi.org/10.1109/ecc.2016.7810346
    18. Brunner, F. D., Heemels, W. P. M. H., & Allgöwer, F. (2015). Robust Event-Triggered MPC for Constrained Linear Discrete-Time Systems with Guaranteed Average Sampling Rate. Proc. IFAC Conf. Nonlinear Model Predictive Control (NMPC), 48(23), 117–122.
    19. Brunner, F. D., Gommans, T. M. P., Heemels, W. P. M. H., & Allgöwer, F. (2015). Resource-aware set-valued estimation for discrete-time linear systems. Proc. 54th IEEE Conf. Decision and Control (CDC), 5480–5486.
    20. Brunner, F. D., Gommans, T. M. P., Heemels, W. P. M. H., & Allgöwer, F. (2015). Communication Scheduling in Robust Self-Triggered MPC for Linear Discrete-Time Systems. Proc. 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), 48(22), 132–137.
    21. Aydiner, E., Brunner, F. D., Heemels, W. P. M. H., & Allgöwer, F. (2015). Robust Self-Triggered Model Predictive Control for Constrained Discrete-Time LTI Systems based on Homothetic Tubes. Proc. European Control Conf. (ECC), 1587–1593.
    22. Brunner, F. D., Heemels, W. P. M. H., & Allgöwer, F. (2014). Robust Self-Triggered MPC for Constrained Linear Systems. Proc. European Control Conf. (ECC), 472–477.
    23. Zelazo, D., Franchi, A., Allgöwer, F., Bülthoff, H. H., & Robuffo Giordano, P. (2012). Rigidity Maintenance Control for Multi-robot Systems. Proc. Robotics: Science and Systems, 473–480.
    24. Weber, P., Hasenauer, J., Allgöwer, F., & Radde, N. (2011). Parameter estimation and identifiability of biological networks using relative data. Proc. 18th IFAC World Congress, 11648–11653.
    25. Hasenauer, J., Waldherr, S., Doszczak, M., Radde, N., Scheurich, P., & Allgöwer, F. (2011). Parameter estimation and uncertainty analysis for models of heterogeneous cell populations. Proc. 12th Int. Conf. Systems Biology (ICSB).
    26. Hasenauer, J., Erbertseder, K., Doszczak, M., Helmig, R., Scheurich, P., & Allgöwer, F. (2011). Towards a multi-scale model for the therapeutic action of TRAIL in lung carcinoma. Proc. 12th Int. Conf. Systems Biology (ICSB).
    27. Hasenauer, J., Heinrich, J., Doszczak, M., Scheurich, P., Weiskopf, D., & Allgöwer, F. (2011). Visualization methods and support vector machines as tools for determining markers in models of heterogeneous populations: Proapoptotic signaling as a case study. In H. Köpple, J. Aćimović, J. Kesselin, & T. Mäki-Marttunen (Hrsg.), Proc. 8th Int. Workshop on Computational Systems Biology (WCSB) (S. 61–64). Tampere International Center for Signal Processing.
    28. Schlipf, D., Schuler, S., Grau, P., Allgöwer, F., & Kühn, M. (2010). Look-Ahead Cyclic Pitch Control Using LIDAR. Proc. Science of Making Torque from Wind (TORQUE).
    29. Wieland, P., Schmidt, G. S., Sepulchre, R., & Allgöwer, F. (2010). Phase Synchronization through Entrainment by a Consensus Input. Proc. 49th IEEE Conf. Decision and Control (CDC), 535–539.
    30. Wieland, P., & Allgöwer, F. (2010). On consensus among identical linear systems using input-decoupled functional observers. Proc. American Control Conf. (ACC), 1641–1646.
    31. Hasenauer, J., Waldherr, S., Doszczak, M., Scheurich, P., & Allgöwer, F. (2010). Density-based modeling and identification of biochemical networks in cell populations. In M. Kothare, M. Tade, O. Moses, A. V. Wouwer, & I. Smets (Hrsg.), Proc. 9th IFAC Symp. Dynamics and Control of Process Systems (DYCOPS) (S. 320–325).
    32. Hasenauer, J., Doszczak, M., Borchers, S., Waldherr, S., Findeisen, R., Scheurich, P., & Allgöwer, F. (2010). Single-cells vs. cell populations - From a binary decision to a continuous response. Proc. Conf. Systems Biology of Mammalian Cells (SBMC).
    33. Münz, U., Böhm, C., Eck, J., Reble, M., Schumm, P., & Allgöwer, F. (2009). A Matlab-Based Game for Advanced Automatic Control Education. Proc. 8th IFAC Symp. Advances in Control Education, 140–145.
    34. Hasenauer, J., Rumschinski, P., Waldherr, S., Borchers, S., Allgöwer, F., & Findeisen, R. (2009). Guaranteed steady-state bounds for uncertain chemical processes. In S. Engell & Y. Arkun (Hrsg.), Proc. IFAC Int. Symp. Advanced Control of Chemical Processes (ADCHEM) (S. 674–679). IFAC-PaperOnline.
    35. Wieland, P., & Allgöwer, F. (2009). An Internal Model Principle for Consensus in Heterogeneous Linear Multi-Agent Systems. Proc. 1st IFAC Workshop on Estimation and Control of Networked Systems (NecSys), 7–12.
    36. Wieland, P., & Allgöwer, F. (2009). An Internal Model Principle for Synchronization. Proc. 7th IEEE Int. Conf. Control and Automation, 285–290.
    37. Münz, U., Schumm, P., & Allgöwer, F. (2008). Educational Games in Control. Proc. 17th IFAC World Congress, 12625–12630.
    38. Wieland, P., Kim, J.-S., Scheu, H., & Allgöwer, F. (2008). On consensus in multi-agent systems with linear high-order agents. Proc. 17th IFAC World Congress, 1541–1546.
    39. Waldherr, S., Doszczak, M., Schliemann, M., Schreiner, J., Scheurich, P., & Allgöwer, F. (2008). The TNF Receptor Signalling Network: Modular Modelling and Cell-type Specific Analysis. 2nd Conference on Systems Biology of the Mammalian Cell, Dresden.
    40. Wieland, P., & Allgöwer, F. (2007). Constructive Safety using Control Barrier Functions. Proc. 7th IFAC Symp. Nonlinear Control Systems (NOLCOS), 473–478.
    41. Wieland, P., Ebenbauer, C., & Allgöwer, F. (2007). Ensuring Task-Independent Safety for Multi-Agent Systems by Feedback. Proc. American Control Conf. (ACC), 3880–3885.
    42. Bullinger, E., Findeisen, R., Kalamatianos, D., & Wellstead, P. (2006). System and control theory allows to further understanding of biological signal transduction.
    43. Farina, M., Findeisen, R., Bullinger, E., Bittanti, S., Allgöwer, F., & Wellstead, P. (2006). Results towards Identifiability Properties of Biochemical Reaction Networks. Proc. 45th IEEE Conf. Decision and Control (CDC), 2104–2109.
    44. Wieland, P., Meurer, T., Graichen, K., & Zeitz, M. (2006). Feedforward control design under input constraints for a tubular reactor model. Proc. 45th IEEE Conf. Decision and Control (CDC), 3968–3973.
    45. Schweickhardt, T., Schumm, P., Münz, U., & Allgöwer, F. (2006). Integration of E-Learning Modules in Automatic Control Education. Proc. 7th IFAC Symp. Advances in Control Education.
    46. Eißing, T., Allgöwer, F., Scheurich, P., & Bullinger, E. (2006). Bistability in cell signalling and applications to apoptosis - principles and robustness aspects. Proceedings of the Hamilton Institute International Workshop on Systems Biology, 39.
    47. Wolfrum, P., Vargas, A., Gallivan, M., & Allgöwer, F. (2005). Complexity reduction of a thin film deposition model using a trajectory based nonlinear model reduction technique. Proc. American Control Conf. (ACC), 2566–2571.
    48. Eißing, T., Cimatoribus, C., Allgöwer, F., Scheurich, P., & Bullinger, E. (2005). System Properties of the Core Reactions of Apoptosis. 1st FEBS Advanced Lecture Course Systems Biology, 164.
    49. Bars, R., Colaneri, P., de Souza, C. E., Dugard, L., Allgöwer, F., Kleimenov, A., & Scherer, C. (2005). Theory, algorithms and technology in the design of control systems. Proc. 16th IFAC World Congress, 122–131.
    50. Alvarado, I., Findeisen, R., Kühl, P., Limón, D., & Allgöwer, F. (2005). State Estimation for Repetitive Processes Using Iteratively Improving Moving Horizon Observers. Proc. 44th IEEE Conf. Decision and Control (CDC), European Control Conf. (ECC), 7756–7761.
    51. Raff, T., Menold, P. H., Ebenbauer, C., & Allgöwer, F. (2005). A Finite Time Functional Observer for Linear Systems. Proc. 44th IEEE Conf. Decision and Control (CDC), European Control Conf. (ECC), 7198–7203.
    52. Sauter, T., Saez-Rodriguez, J., Conzelmann, H., Eißing, T., Gilles, E. D., & Scheurich, P. (2005). Cellect, project C4: Mathematical modeling of cellular regulation networks of apoptosis and cell proliferation. 2nd BMBF Colloquium „Proteomics“.
    53. Münz, U., & Zufiria, P. J. (2005). Parametric Fault Diagnosis in Stochastic Dynamical Systems. Proceedings of the 19th CEDYA 2005, Madrid, Spain.
    54. Eißing, T., Conzelmann, H., Gilles, E. D., Allgöwer, F., Bullinger, E., & Scheurich, P. (2004). Mathematical modeling applied to caspase activation reveals a requirement for additional control. 5th International Conference on Systems Biology, 207.
    55. Nagy, Z. K., & Agachi, S. P. (2004). Internet-based interactive remote laboratory for educational experiments. In AIChE (Hrsg.), Proc. AIChE Annual Meeting.
    56. Eißing, T., Conzelmann, H., Gilles, E. D., Allgöwer, F., Bullinger, E., & Scheurich, P. (2004). Mathematical modeling and system analysis of caspase activation. International Workshop on Theoretical Biophysics, 11.
    57. Menold, P. H., Findeisen, R., & Allgöwer, F. (2003). Finite time convergent observers for linear time-varying systems. Proc. 11th Mediterranean Conf. Control and Automation (MED).
    58. Menold, P. H., Findeisen, R., & Allgöwer, F. (2003). Finite time convergent observers for nonlinear systems. Proc. 42nd IEEE Conf. Decision and Control (CDC), 5673–5678.
    59. Menold, P. H., & Allgöwer, F. (2003). Finite time convergent observer. AIChE Annual Meeting.
    60. Schumm, P., Schweickhardt, T., Bullinger, E., & Allgöwer, F. (2003). Der Einsatz neuer Medien in der regelungstechnischen Ausbildung. Proc. GMA-Kongress, 1061–1068.
    61. Schoeberl, B., Eißing, T., Fotin, M., Gilles, E. D., & Scheurich, P. (2002). A mathematical model of TNF receptor interaction. 1st International Symposium of the SFB 495.
    62. Nagy, Z., Agachi, S. P., Allgöwer, F., & Findeisen, R. (2001). Nonlinear model predictive control of a high purity distillation column. 14-th International Congress of Chemical and Process Engineering CHISA 2000.
    63. Nagy, Z., Findeisen, R., Diehl, M., Allgöwer, F., Bock, H. G., Agachi, S. P., Schlöder, J. P., & Leineweber, D. (2000). Real-time Feasibility of Nonlinear Predictive Control for Large Scale Processes -- a Case Study. Proc. American Control Conf. (ACC), 4249–4254.
  4. Promotionen

    1. Weber, P. M. (2015). Data-driven modeling of molecular interactions at the trans-Golgi network of mammalian cells. Institute for Systems Theory and Automatic Control, University of Stuttgart.
    2. Wieland, P. (2010). From static to dynamic couplings in consensus and synchronization among identical and non-identical systems. Institute for Systems Theory and Automatic Control, University of Stuttgart.
    3. Menold, P. H. (2004). Finite and Asymptotic Time State Estimation for Linear and Nonlinear Systems. Institute for Systems Theory and Automatic Control, University of Stuttgart.
seit 06/2015 Wissenschaftlicher Mitarbeiter am Institut für Systemtheorie und Regelungstechnik, Universität Stuttgart, Deutschland.
04/2014−03/2015 Praktikum und Masterarbeit bei der KUKA Laboratories GmbH, Augsburg
10/2009−04/2015 Studium der Mechatronik an der Universität Stuttgart
09/2008−05/2009 Zivildienst im Generationenzentrum Sonnenberg, Stuttgart
06/2008 Abitur am Königin-Charlotte-Gymnasium, Stuttgart
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