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Professur Regelungstechnik und Systemdynamik
Publikationen

Publications

Journal Articles, Books and Book Chapters (Peer Reviewed)

  1. Rosario, R. C. d.; Staudinger, W. F.; Streif, S.; Pfeiffer, F.; Mendoza, E.; Oesterhelt, D.: Modeling the CheY(D10K,Y100W) Halobacterium salinarum mutant: sensitivity analysis allows choice of parameter to be modified in the phototaxis model. IET Systems Biology, Vol. 1(4), pp. 207-221. July 2007. [DOI] [BIB]
  2. Streif, S.; Staudinger, W. F.; Marwan, W.; Oesterhelt, D.: Flagellar rotation in the archaeon Halobacterium salinarum depends on ATP. Journal of Molecular Biology, Vol. 384, pp. 1-8. August 2008. [DOI] [BIB]
  3. Streif, S.; Staudinger, W. F.; Oesterhelt, D.; Marwan, W.: Quantitative analysis of signal transduction in motile and phototactic cells by computerized light stimulation and model based tracking. Review of Scientific Instruments, Vol. 80(2), pp. 023709. February 2009. [URL] [DOI] [BIB]
  4. Schlesner, M.; Miller, A.; Streif, S.; Staudinger, W. F.; Müller, J.; Scheffer, B.; Siedler, F.; Oesterhelt, D.: Identification of Archaea-specific chemotaxis proteins which interact with the flagellar apparatus. BMC Microbiology, Vol. 9(56). March 2009. [URL] [DOI] [BIB]
  5. Ohtsuka, T.; Streif, S.: Commutativity of immersion and linearization. IEEE Transactions on Automatic Control, Vol. 54(4), pp. 826-829. April 2009. [DOI] [BIB]
  6. Streif, S.; Waldherr, S.; Allgöwer, F.; Findeisen, R.: Steady state sensitivity analysis of biochemical reaction networks: a brief review and new methods. Systems Analysis of Biological Networks, pp. 129-148. Boston/London. August 2009. [URL] [BIB]
  7. Hempel, A.; Bocklisch, S. F.: Fuzzy Pattern Modelling of Data Inherent Structures Based on Aggregation of Data with Heterogeneous Fuzziness. Modelling Simulation and Optimization, pp. 637-655. 2010. [URL] [BIB]
  8. Streif, S.; Oestherhelt, D.; Marwan, W.: A predictive computational model of the kinetic mechanism of stimulus-induced transducer methylation and feedback regulation through CheY in archaeal phototaxis and chemotaxis. BMC Systems Biology, Vol. 4(27). March 2010. [URL] [DOI] [BIB]
  9. Streif, S.: Understanding Phototaxis of Halobacterium salinarum: A Systems Biology Approach. Vol. 1. May 2011. [DOI] [BIB]
  10. Streif, S.; Savchenko, A.; Rumschinski, P.; Borchers, S.; Findeisen, R.: ADMIT: a toolbox for guaranteed model invalidation, estimation and qualitative-quantitative modeling. Bioinformatics, Vol. 28(9), pp. 1290-1291. 2012. [URL] [DOI] [BIB]
  11. Rumschinski, P.; Streif, S.; Findeisen, R.: Combining qualitative information and semi-quantitative data for guaranteed invalidation of biochemical network models. International Journal of Robust and Nonlinear Control, Vol. 22(10), pp. 1157-1173. 2012. [URL] [DOI] [BIB]
  12. Kreysing, M.; Pusch, R.; Haverkate, D.; Landsberger, M.; Engelmann, J.; Ruiter, J.; Mora-Ferrer, C.; Ulbricht, E.; Grosche, J.; Franze, K.; Streif, S.; Schumacher, S.; Makarov, F.; Kacza, J.; Guck, J.; Wolburg, H.; Bowmaker, J. K.; Emde, G. v. d.; Schuster, S.; Wagner, H.; Reichenbach, A.; Francke, M.: Photonic Crystal Light Collectors in Fish Retina Improve Vision in Turbid Water. Science, Vol. 336(6089), pp. 1700-1703. 2012. [URL] [DOI] [BIB]
  13. Waldherr, S.; Streif, S.; Allgöwer, F.: Design of biomolecular network modifications to achieve adaptation. IET Systems Biology, Vol. 6, pp. 223-231(8). December 2012. [DOI] [BIB]
  14. Rudolph, M.; Hempel, A.: Unscharfe Klassifikation von Messdaten zur Maschinenüberwachung. wt Werkstattstechnik (online), Vol. 103(1112), pp. 915-920. 2013. [URL] [BIB]
  15. Borchers, S.; Freund, S.; Rath, A.; Streif, S.; Reichl, U.; Findeisen, R.: Identification of Growth Phases and Influencing Factors in Cultivations with AGE1.HN Cells Using Set-Based Methods. PLoS ONE, Vol. 8(8), pp. e68124. August 2013. [URL] [DOI] [BIB]
  16. Rausch, M.; Klein, R.; Streif, S.; Pankiewitz, C.; Findeisen, R.: Modellbasierte Zustandsschätzung für Lithium-Ionen-Batterien (engl. Model-based State Estimation for Lithium-ion Batteries). at -- Automatisierungstechnik, Vol. 62(4), pp. 296-311. March 2014. Special issue: Elektromobilität. [DOI] [BIB]
  17. Rudolph, N.; Meyer, T.; Franzen, K.; Garbers, C.; Schaper, F.; Streif, S.; Dittrich, A.; Findeisen, R.: A Two-level Approach for Fusing Early Signaling Events and Long Term Cellular Responses. IFAC-PapersOnLine, Vol. 48(8), pp. 1228-1233. Whistler, Canada. 2015. [URL] [DOI] [BIB]
  18. Mesbah, A.; Streif, S.: A Probabilistic Approach to Robust Optimal Experiment Design with Chance Constraints. IFAC-PapersOnLine, Vol. 48(8), pp. 100-105. Whistler, Canada. 2015. [URL] [DOI] [BIB]
  19. Hast, D.; Findeisen, R.; Streif, S.: Detection and isolation of parametric faults in hydraulic pumps using a set-based approach and quantitative-qualitative fault specifications. Control Engineering Practice, Vol. 40, pp. 61-70. 2015. [URL] [DOI] [BIB]
  20. Bocklisch, S. F.; Bocklisch, F.: Fuzzy-Pattern-Klassifikatoren als Modelle. Informatik-Spektrum, Vol. 38(6), pp. 510-522. 2015. [URL] [DOI] [BIB]
  21. Rudolph, N.; Streif, S.; Findeisen, R.: Set-based Experiment Design for Model Discrimination Using Bilevel Optimization. IFAC-PapersOnLine, Vol. 49(26), pp. 295-299. 2016. Foundations of Systems Biology in Engineering - FOSBE 2016. [URL] [DOI] [BIB]
  22. Streif, S.; Kim, K. K.; Rumschinski, P.; Kishida, M.; Shen, D. E.; Findeisen, R.; Braatz, R. D.: Robustness analysis, prediction, and estimation for uncertain biochemical networks: An overview. Journal of Process Control, Vol. 42, pp. 14-34. 2016. [URL] [DOI] [BIB]
  23. Bocklisch, F.; Bocklisch, S. F.; Beggiato, M.; Krems, J.: Adaptive fuzzy pattern classification for the online detection of driver lane change intention. Neurocomputing, Vol. 262, pp. 148-158. 2017. [URL] [DOI] [BIB]
  24. Osinenko, P.; Streif, S.: Optimal traction control for heavy-duty vehicles. Control Engineering Practice, Vol. 69, pp. 99-111. 2017. [URL] [DOI] [BIB]
  25. Osinenko, P.; Göhrt, T.; Devadze, G.; Streif, S.: Stacked adaptive dynamic programming with unknown system model. IFAC-PapersOnLine, Vol. 50(1), pp. 4150-4155. 2017. 20th IFAC World Congress. [URL] [DOI] [BIB]
  26. Beckenbach, L.; Osinenko, P.; Streif, S.: Addressing infinite-horizon optimality in MPC via Q-learning. IFAC-PapersOnLine, Vol. 51(20), pp. 60-65. 2018. Proc. of the 6th IFAC Conference on Nonlinear Model Predictive Control (NMPC). [DOI] [BIB]
  27. Osinenko, P.; Devadze, G.; Streif, S.: Constructive analysis of Caratheodory's existence and uniqueness theorem. IEEE/CAA Journal of Automatica Sinica, Vol. 5(4), pp. 787-793. 2018. [URL] [DOI] [BIB]
  28. Osinenko, P.; Beckenbach, L.; Streif, S.: Practical sample-and-hold stabilization of nonlinear systems under approximate optimizers. IEEE Control Systems Letters (L-CSS), Vol. 2(4), pp. 569-574. 2018. [URL] [DOI] [BIB]
  29. Osinenko, P.; Streif, S.: Analysis of extremum value theorems for function spaces in optimal control under numerical uncertainty. IMA Journal of Mathematical Control and Information. 2018. [URL] [DOI] [BIB]
  30. Paulson, J. A.; Streif, S.; Findeisen, R.; Braatz, R. D.; Mesbah, A.: Fast Stochastic Model Predictive Control of End-to-end Continuous Pharmaceutical Manufacturing. Process Systems Engineering for Pharmaceutical Manufacturing, pp. 353-378. January 2018. [DOI] [BIB]
  31. Osinenko, P.; Devadze, G.; Streif, S.: Practical stability analysis of sliding-mode control with explicit computation of sampling time. Asian Journal of Control. February 2019. [DOI] [BIB]
  32. Göhrt, T.; Osinenko, P.; Streif, S.: Adaptive dynamic programming using Lyapunov function constraints. IEEE Control Systems Letters, Vol. 3(4). May 2019. [DOI] [BIB]
  33. Reeh, H.; Rudolf, N.; Billing, U.; Christen, H.; Streif, S.; Bullinger, E.; Schliemann-Bullinger, M.; Findeisen, R.; Schaper, F.; Huber, H. J.; Dittrich, A.: Response to IL-6 trans- and IL-6 classic signalling is determined by the ratio of the IL-6 receptor α to gp130 expression: fusing experimental insights and dynamic modelling. Cell Communication and Signaling, Vol. 17(1), pp. 46. May 2019. [URL] [DOI] [BIB]

Conference Proceedings (Peer Reviewed)

  1. Hagenmeyer, V.; Streif, S.; Zeitz, M.: Flatness-based feedforward and feedback linearisation of the ball&plate lab experiment. In Proc. 6th IFAC International Symposium on Nonlinear Control Systems (NOLCOS), pp: 233-238. Stuttgart/Germany. August 2004. [BIB]
  2. Streif, S.; Findeisen, R.; Bullinger, E.: Relating cross gramians and sensitivity analysis in systems biology. In Proc. Mathematical Theory of Networks and Systems Conference (MTNS), pp: 437-442. Kyoto, Japan. August 2006. [BIB]
  3. Streif, S.; Findeisen, R.; Bullinger, E.: Sensitivity analysis of biochemical reaction networks by bilinear approximation. In Proc. 2nd International Conference on Foundations of Systems Biology in Engineering (FOSBE), pp: 521-526. Stuttgart, Germany. September 2007. [BIB]
  4. Ohtsuka, T.; Streif, S.: On linearization before and after immersion. In Proc. 36th SICE Symposium on Control Theory, pp: 73-76. Sapporo, Japan. September 2007. [BIB]
  5. Ohtsuka, T.; Streif, S.: Commutativity of immersion and linearization. In Proc. 48th IEEE Conference on Decision and Control (CDC), pp: 5606-5611. New Orleans, LA. December 2007. [BIB]
  6. Schwarick, M.; Heiner, M.; Rohr, C.; Streif, S.: A Comparative Study of Stochastic Analysis Techniques. In Proc. 8th International Conference on Computational Methods in Systems Biology, pp: 96-106. Trento, Italy. September 2010. [BIB]
  7. Waldherr, S.; Allgöwer, F.; Jacobsen, E. W.; Streif, S.: Robustness and adaptation of biological networks under kinetic perturbations. In Control Theory: Mathematical Perspectives on Complex Networked Systems, pp: 663-664. 2012. Report No. 12/2012. [BIB]
  8. Savchenko, A.; Rumschinski, P.; Streif, S.; Findeisen, R.: Complete Diagnosability of Abrupt Faults Using Set-based Sensitivities. In Proc. 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SafeProcess), pp: 860-865. Mexico City. August 2012. [BIB]
  9. Hempel, A.; Hähnel, H.; Mönks, U.; Lohweg, V.: SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In Bildverarbeitung in der Automation. 3. Jahreskolloquium, pp: 62-69. Lemgo. November 2012. [URL] [BIB]
  10. Streif, S.; Karl, M.; Findeisen, R.: Outlier Analysis in Set-based Estimation for Nonlinear Systems Using Convex Relaxations. In Proc. European Control Conference (ECC), pp: 2921-2926. Zurich, Switzerland. July 2013. [BIB]
  11. Hempel, A.; Hähnel, H.; Herbst, G.: Learning non-convex fuzzy classifiers using single-class SVMs. In Fuzzy Systems (FUZZ), 2013 IEEE International Conference on, pp: 1-8. July 2013. [URL] [DOI] [BIB]
  12. Rausch, M.; Streif, S.; Pankiewitz, C.; Findeisen, R.: Nonlinear Observability and Identifiability of Single Cells in Battery Packs. In Proc. IEEE Multi-Conference on Systems and Control (MSC), pp: 401-406. Hyderabad, India. August 2013. [BIB]
  13. Streif, S.; Strobel, N.; Findeisen, R.: Inner approximations of consistent parameter sets via constraint inversion and mixed-integer linear programming. In Proc. 12th IFAC International Symposium on Computer Applications in Biotechnology (CAB), pp: 326-331. Mumbai, India. December 2013. [BIB]
  14. Streif, S.; Rumschinski, P.; Henrion, D.; Findeisen, R.: Estimation of consistent parameter sets of nonlinear continuous-time systems using occupation measures and LMI relaxations. In Proc. 52nd IEEE Conference on Decision and Control (CDC), pp: 6379-6384. Florence, Italy. December 2013. [DOI] [BIB]
  15. Streif, S.; Kim, K. K.; Rumschinski, P.; Kishida, M.; Shen, D. E.; Findeisen, R.; Braatz, R. D.: Robustness analysis, prediction and estimation for uncertain biochemical networks. In Proc. 10th IFAC International Symposium on Dynamics and Control of Process Systems (DyCoPS), pp: 1-20. Mumbai, India. December 2013. Invited plenary paper. [BIB]
  16. Streif, S.; Hast, D.; Braatz, R. D.; Findeisen, R.: Certifying robustness of separating inputs and outputs in active fault diagnosis for uncertain nonlinear systems. In Proc. 10th IFAC International Symposium on Dynamics and Control of Process Systems (DyCoPS), pp: 837-842. Mumbai, India. December 2013. [BIB]
  17. Savchenko, A.; Rumschinski, P.; Streif, S.; Findeisen, R.: Structural problem reduction for set-based fault diagnosis. In Proc. 10th IFAC International Symposium on Dynamics and Control of Process Systems (DyCoPS), pp: 595-600. Mumbai, India. December 2013. [BIB]
  18. Hast, D.; Streif, S.; Findeisen, R.: Guaranteed parametric fault diagnosability for nonlinear systems. In Proc. 52nd IEEE Conference on Decision and Control (CDC), pp: 5662-5667. Florence, Italy. December 2013. [BIB]
  19. Hempel, A.; Hähnel, H.; Herbst, G.: Building Hybrid Fuzzy Classifier Trees by Additive/Subtractive Composition of Sets. In Information Processing and Management of Uncertainty in Knowledge-Based Systems, pp: 516-525. 2014. [URL] [DOI] [BIB]
  20. Rausch, M.; Klein, R.; Streif, S.; Pankiewitz, C.; Findeisen, R.: Set-based state of charge estimation for lithium-ion batteries. In Proc. American Control Conference (ACC), pp: 1566-1571. Portland, Oregon. June 2014. [BIB]
  21. Paulson, J. A.; Raimondo, D. M.; Findeisen, R.; Braatz, R. D.; Streif, S.: Guaranteed Active Fault Diagnosis for Uncertain Nonlinear Systems. In Proc. European Control Conference (ECC), pp: 926-931. Strasbourg, France. June 2014. [BIB]
  22. Mesbah, A.; Streif, S.; Findeisen, R.; Braatz, R. D.: Stochastic Nonlinear Model Predictive Control with Probabilistic Constraints. In Proc. American Control Conference (ACC), pp: 2413-2419. Portland, Oregon. June 2014. [DOI] [BIB]
  23. Trenner, T.; Neidig, J.; Findeisen, R.; Streif, S.: Einsatz cyber-physischer Systeme im Echtzeitkontext: Erhöhung der System-Autonomie durch Auswertung von Anlagenmodellen auf Zellebene. In Automation. July 2014. [BIB]
  24. Streif, S.; Petzke, F.; Mesbah, A.; Findeisen, R.; Braatz, R. D.: Optimal Experimental Design for Probabilistic Model Discrimination Using Polynomial Chaos. In Proc. 19th IFAC World Congress, pp: 4103-4109. Cape Town, South Africa. August 2014. [BIB]
  25. Streif, S.; Kögel, M.; Bäthge, T.; Findeisen, R.: Robust Nonlinear Model Predictive Control with Constraint Satisfaction: A relaxation-based Approach. In Proc. 19th IFAC World Congress, pp: 11073-11079. Cape Town, South Africa. August 2014. [BIB]
  26. Streif, S.; Henrion, D.; Findeisen, R.: Probabilistic and Set-based Model Invalidation and Estimation Using LMIs. In Proc. 19th IFAC World Congress, pp: 4110-4115. Cape Town, South Africa. August 2014. [BIB]
  27. Savchenko, A.; Andonov, P.; Streif, S.; Findeisen, R.: Guaranteed Set-based Controller Parameter Estimation for Nonlinear Systems - Magnetic Levitation Platform as a Case Study. In Proc. 19th IFAC World Congress, pp: 4650-4655. Cape Town, South Africa. August 2014. [BIB]
  28. Rumschinski, P.; Findeisen, R.; Streif, S.: Finite-Time Output Energy Measure for Polynomial Systems With Applications in Observability Analysis. In Proc. 19th IFAC World Congress, pp: 2800-2805. Cape Town, South Africa. August 2014. [BIB]
  29. Mesbah, A.; Streif, S.; Findeisen, R.; Braatz, R. D.: Active Fault Diagnosis for Nonlinear Systems with Probabilistic Uncertainties. In Proc. 19th IFAC World Congress, pp: 7079-7084. Cape Town, South Africa. August 2014. [BIB]
  30. Paulson, J. A.; Mesbah, A.; Streif, S.; Findeisen, R.; Braatz, R. D.: Fast Stochastic Model Predictive Control of High-dimensional Systems. In Proc. 53rd IEEE Conference on Decision and Control (CDC), pp: 2802-2809. Los Angeles, CA. December 2014. [BIB]
  31. Hähnel, H.; Hempel, A.; Herbst, G.: Towards Evolving Parametric Fuzzy Classifiers Using a Virtual Sample Generation Approach. In Proc. 16th World Congress of the International Fuzzy Systems Association (IFSA) and the 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), pp: 1111-1118. June 2015. [URL] [DOI] [BIB]
  32. Andonov, P.; Savchenko, A.; Rumschinski, P.; Streif, S.; Findeisen, R.: Controller Verification and Parametrization Subject to Quantitative and Qualitative Requirements. In 9th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM, pp: 1174-1179. Whistler, Canada. June 2015. [URL] [DOI] [BIB]
  33. Paulson, J. A.; Streif, S.; Mesbah, A.: Stability for Receding-horizon Stochastic Model Predictive Control. In Proc. American Control Conference (ACC), pp: 937-943. Chicago, IL. July 2015. [BIB]
  34. Osinenko, P.; Geißler, M.; Herlitzius, T.; Streif, S.: Experimental results of slip control with a fuzzy-logic-assisted unscented Kalman filter for state estimation. In In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp: 501-507. 2016. [BIB]
  35. Osinenko, P.; Devadze, G.; Streif, S.: Constructive analysis of control systems stability. In Proc. of the 20th IFAC World Congress., pp: 7467-7474. 2017. [URL] [DOI] [BIB]
  36. Sahib, M. A.; Streif, S.: Design of an active noise controller for reduction of tire/road interaction noise in environmentally friendly vehicles. In Proc. 2017 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), pp: 59-62. Poznan, Poland. 2017. [DOI] [BIB]
  37. Bocklisch, F.; Bocklisch, S. F.; Beggiato, M.; Krems, J.: Fuzzy Pattern Classification for the Online Detection of Driver Lane Change Intention. In TeaP 2017 : abstracts of the 59th Conference of Experimental Psychologists, pp: 232. Dresden, Germany. March 2017. [BIB]
  38. Schmidt, B.; Cardim, D.; Weinhold, M.; McLead, D. D.; Czosnyna, M.; Klingelhöfer, J.; Streif, S.: Comparison of Different Calibration Methods in a Non-invasive ICP Assessment Model. In Intracranial Pressure & Neuromonitoring XVI, pp: 79-84. Cham. 2018. [DOI] [BIB]
  39. Beckenbach, L.; Osinenko, P.; Göhrt, T.; Streif, S.: Constrained and Stabilizing Stacked Adaptive Dynamic Programming and a Comparison with Model Predictive Control. In Proc. European Control Conference (ECC). 2018. [DOI] [BIB]
  40. Petzke, F.; Streif, S.: Integer-free Optimal Scheduling of Smart Appliances. In Proc. European Control Conference (ECC). Limassol, Cyprus. June 2018. [DOI] [BIB]
  41. Stoican, F.; Petzke, F.; Prodan, I.; Streif, S.: Hierarchical Control with Guaranteed Fault Diagnosability. In Proc. 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS). Warsaw, Poland. August 2018. [DOI] [BIB]
  42. Petzke, F.; Farina, M.; Streif, S.: A Multirate Hierarchical MPC Scheme for Ensemble Systems. In Proc. Conference on Decision and Control (CDC). December 2018. [URL] [DOI] [BIB]
  43. Beckenbach, L.; Osinenko, P.; Streif, S.: Model predictive control with stage cost shaping inspired by reinforcement learning. In Proc. Conference on Decision and Control (CDC). 2019. [BIB]
  44. Göhrt, T.; Osinenko, P.; Streif, S.: Adaptive actor-critic structure for parametrized controllers. In 11th IFAC Symposium on Nonlinear Control Systems. February 2019. [BIB]

Selection of Submitted Manuscripts

  1. Göhrt, T.; Osinenko, P.; Streif, S.: Converse optimality for discrete-time systems.
  2. Esterhuizen, W.; Aschenbruck, T.; Streif, S.: On Maximal Robust Positively Invariant Sets in Constrained Nonlinear Systems.
  3. Osinenko, P.; Devadze, G.; Streif, S.: Constructive analysis of eigenvalue problems in control under numerical uncertainty.
  4. Padmanabha, M.; Streif, S.: Design of a test system for the study and optimal control of growth processes in plants, fungi, and insect larvae.
  5. Nguyen, N. T.; Prodan, I.; Petzke, F.; Streif, S.; Lefèvre, L.: FTC design for quadcopter trajectory tracking under actuator saturation and stuck fault.
  6. Schmidt, P.; Osinenko, P.; Streif, S.: Robust practical stabilization of nonlinear systems under computational uncertainty.
  7. Aschenbruck, T.; Esterhuizen, W.; Streif, S.: Transient Stability Analysis of Power Grids with Admissible and Maximal Robust Positively Invariant Sets.