[59]	Kobelski, A.; Hempel, A.; Padmanabha, M.; Klüber, P.; Wille, L. C. P.; Streif, S.: Model-based process optimization of black soldier fly egg production. Frontiers in Bioengineering and Biotechnology, Vol. 12. 2024. [DOI] [BIB]
[58]	Aschenbruck, T.; Dickert, J.; Esterhuizen, W.; Filipecki, B.; Grundel, S.; Helmberg, C.; Ritschel, T. K. S.; Sauerteig, P.; Streif, S.; Wasserrab, A.; Worthmann, K.: Hierarchical Power Systems: Optimal Operation using Grid Flexibilities. 2023. [URL] [DOI] [BIB]
[57]	Padmanabha, M.; Kobelski, A.; Hempel, A.; Streif, S.: Modeling and optimal control of growth, energy and resource dynamics of Hermetia illucens in mass production environment. Computers and Electronics in Agriculture, Vol. 206, pp. 107649. 2023. [URL] [DOI] [BIB]
[56]	Aschenbruck, T.; Petzke, F.; Rumschinski, P.; Streif, S.: On consistency, viability, and admissibility in constrained ensemble and hierarchical control systems. IEEE Transactions on Automatic Control. 2023. [DOI] [BIB]
[55]	Moreno-Mora, F.; Beckenbach, L.; Streif, S.: Predictive Control with Learning-Based Terminal Costs Using Approximate Value Iteration. IFAC-PapersOnLine, Vol. 56(2), pp. 3874-3879. 2023. Presented at the 22nd IFAC World Congress. [DOI] [BIB]
[54]	Baumgart, U.; Moreno-Mora, F.; Beckenbach, L.; Burger, M.; Streif, S.: Nonlinear Optimal Control of Traffic Flow with Stability Guarantees. IFAC-PapersOnLine, Vol. 56(2), pp. 4965-4970. 2023. Presented at the 22nd IFAC World Congress. [DOI] [BIB]
[53]	Yakti, W.; Schulz, S.; Marten, V.; Mewis, I.; Padmanabha, M.; Hempel, A.; Kobelski, A.; Streif, S.; Ulrichs, C.: The Effect of Rearing Scale and Density on the Growth and Nutrient Composition of Hermetia illucens (L.) (Diptera: Stratiomyidae) Larvae. Sustainability, Vol. 14(3), pp. 1772. 2022. [URL] [DOI] [BIB]
[52]	Moreno-Mora, F.; Beckenbach, L.; Streif, S.: Performance bounds of adaptive MPC with bounded parameter uncertainties. European Journal of Control, Vol. 68, pp. 100688. 2022. [DOI] [BIB]
[51]	Schmidt, P.; Osinenko, P.; Streif, S.: On inf-convolution-based robust practical stabilization under computational uncertainty. IEEE Transactions on Automatic Control, Vol. 66(11), pp. 5530-5537. 2021. [URL] [DOI] [BIB]
[50]	Esterhuizen, W.; Lévine, J.; Streif, S.: Epidemic management with admissible and robust invariant sets. PLOS ONE, Vol. 16, pp. 1-28. 2021. [URL] [DOI] [BIB]
[49]	Osinenko, P.; Streif, S.: On constructive extractability of measurable selectors of set-valued maps. IEEE Transactions on Automatic Control, Vol. 66(8), pp. 3757-3764. 2021. [URL] [DOI] [BIB]
[48]	Kobelski, A.; Osinenko, P.; Streif, S.: Experimental verification of an online traction parameter identification method. Control Engineering Practice, Vol. 113, pp. 104837. 2021. [URL] [DOI] [BIB]
[47]	Osinenko, P.; Biegert, K.; McCormick, R. J.; Göhrt, T.; Devadze, G.; Streif, J.; Streif, S.: Application of non-destructive sensors and big data analysis to predict physiological storage disorders and fruit firmness in ‘Braeburn’ apples. Computers and Electronics in Agriculture, Vol. 183. 2021. [URL] [DOI] [BIB]
[46]	Aschenbruck, T.; Baumann, M.; Esterhuizen, W.; Filipecki, B.; Grundel, S.; Helmberg, C.; Ritschel, T. K. S.; Sauerteig, P.; Streif, S.; Worthmann, K.: Optimization and stabilization of hierarchical electrical networks. Mathematical Modeling, Simulation and Optimization for Power Engineering and Management, Vol. 34, pp. 171-198. 2021. [URL] [DOI] [BIB]
[45]	Esterhuizen, W.; Worthmann, K.; Streif, S.: Recursive feasibility of continuous-time model predictive control without stabilising constraints. IEEE Control Systems Letters, Vol. 5(1), pp. 265-270. 2021. [URL] [DOI] [BIB]
[44]	Padmanabha, M.; Kobelski, A.; Hempel, A.; Streif, S.: A Comprehensive Dynamic Growth and Development Model of Hermetia illucens Larvae. PLOS ONE, Vol. 15(9), pp. 1-25. 2020. [URL] [DOI] [BIB]
[43]	Griesing-Scheiwe, F.; A.W.Shardt, Y.; Pérez-Zuñiga, G.; Yang, X.: Soft sensor design for variable time delay and variable sampling time. Journal of Process Control, Vol. 92, pp. 310-318. 2020. [URL] [DOI] [BIB]
[42]	Göhrt, T.; Osinenko, P.; Streif, S.: Converse optimality for discrete-time systems. IEEE Transactions on Automatic Control, Vol. 65(5), pp. 2257-2264. 2020. [URL] [DOI] [BIB]
[41]	Aschenbruck, T.; Esterhuizen, W.; Streif, S.: Transient stability analysis of power grids with admissible and maximal robust positively invariant sets. Automatisierungstechnik (at), Vol. 68(12), pp. 1011-1021. 2020. [URL] [DOI] [BIB]
[40]	Osinenko, P.; Devadze, G.; Streif, S.: Constructive analysis of eigenvalue problems in control under numerical uncertainty. International Journal of Control, Automation and Systems, Vol. 18(9), pp. 2177-2185. 2020. [DOI] [BIB]
[39]	Esterhuizen, W.; Aschenbruck, T.; Streif, S.: On maximal robust positively invariant sets in constrained nonlinear systems. Automatica, Vol. 119, pp. 109044. 2020. [URL] [DOI] [BIB]
[38]	Beckenbach, L.; Osinenko, P.; Streif, S.: A Q-learning predictive control scheme with guaranteed stability. European Journal of Control, Vol. 56, pp. 167-178. 2020. [DOI] [BIB]
[37]	Padmanabha, M.; Beckenbach, L.; Streif, S.: Model predictive control of a food production unit: a case study for lettuce production. IFAC-PapersOnLine, Vol. 53(2), pp. 15771-15776. 2020. Presented at the 21st IFAC World Congress. [DOI] [BIB]
[36]	Osinenko, P.; Beckenbach, L.; Göhrt, T.; Streif, S.: A reinforcement learning method with closed-loop stability guarantee. IFAC-PapersOnLine, Vol. 53(2), pp. 8043-8048. 2020. Presented at the 21st IFAC World Congress. [URL] [DOI] [BIB]
[35]	Osinenko, P.; Schmidt, P.; Streif, S.: Nonsmooth stabilization and its computational aspects. IFAC-PapersOnLine, Vol. 53(2), pp. 6370-6377. 2020. Presented at the 21st IFAC World Congress. [URL] [DOI] [BIB]
[34]	Esterhuizen, W.; Wang, Q.: Control design with guaranteed transient performance: an approach with polyhedral target tubes. Automatica, Vol. 119, pp. 109097. 2020. [URL] [DOI] [BIB]
[33]	Kobelski, A.; Osinenko, P.; Streif, S.: A method of online traction parameter identification and mapping. IFAC-PapersOnLine, Vol. 53(2), pp. 13933-13938. 2020. Presented at the 21st IFAC World Congress. [URL] [DOI] [BIB]
[32]	Padmanabha, M.; Streif, S.: Design and Validation of a Low Cost Programmable Controlled Environment for Study and Production of Plants, Mushroom, and Insect Larvae. Applied Sciences, Vol. 9(23). 2019. [URL] [DOI] [BIB]
[31]	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, Vol. 36(3), pp. 1015-1032. 2019. [URL] [DOI] [BIB]
[30]	Reeh, H.; Rudolph, 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. 2019. [URL] [DOI] [BIB]
[29]	Göhrt, T.; Osinenko, P.; Streif, S.: Adaptive dynamic programming using Lyapunov function constraints. IEEE Control Systems Letters, Vol. 3(4), pp. 901-906. 2019. [URL] [DOI] [BIB]
[28]	Osinenko, P.; Devadze, G.; Streif, S.: Practical stability analysis of sliding-mode control with explicit computation of sampling time. Asian Journal of Control. 2019. [DOI] [BIB]
[27]	Osinenko, P.; Streif, S.: A constructive version of the extremum value theorem for spaces of vector-valued functions. Journal of Logic and Analysis, Vol. 10(4), pp. 1-13. 2018. [URL] [DOI] [BIB]
[26]	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, Vol. 41, pp. 353-378. 2018. [DOI] [BIB]
[25]	Osinenko, P.; Beckenbach, L.; Streif, S.: Practical sample-and-hold stabilization of nonlinear systems under approximate optimizers. IEEE Control Systems Letters, Vol. 2(4), pp. 569-574. 2018. [URL] [DOI] [BIB]
[24]	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]
[23]	Beckenbach, L.; Osinenko, P.; Streif, S.: Addressing infinite-horizon optimality in MPC via Q-learning. IFAC-PapersOnLine, Vol. 51(20), pp. 60-65. 2018. Presented at the 6th IFAC Conference on Nonlinear Model Predictive Control. [DOI] [BIB]
[22]	Osinenko, P.; Streif, S.: Optimal traction control for heavy-duty vehicles. Control Engineering Practice, Vol. 69, pp. 99-111. 2017. [URL] [DOI] [BIB]
[21]	Bocklisch, F.; Beggiato, M.; Krems, J.; Bocklisch, S. F.: Adaptive fuzzy pattern classification for the online detection of driver lane change intention. Neurocomputing, Vol. 262, pp. 148-158. 2017. [URL] [DOI] [BIB]
[20]	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]
[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]
[18]	Bocklisch, S. F.; Bocklisch, F.: Fuzzy-Pattern-Klassifikatoren als Modelle. Informatik-Spektrum, Vol. 38(6), pp. 510-522. 2015. [URL] [DOI] [BIB]
[17]	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. 2014. Special issue: Elektromobilität. [DOI] [BIB]
[16]	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. 2013. [URL] [DOI] [BIB]
[15]	Rudolph, M.; Hempel, A.: Unscharfe Klassifikation von Messdaten zur Maschinenüberwachung. wt Werkstattstechnik (online), Vol. 103(1112), pp. 915-920. 2013. [URL] [BIB]
[14]	Waldherr, S.; Streif, S.; Allgöwer, F.: Design of biomolecular network modifications to achieve adaptation. IET Systems Biology, Vol. 6, pp. 223-231. 2012. [DOI] [BIB]
[13]	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.; von der Emde, G.; 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]
[12]	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]
[11]	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]
[10]	Streif, S.: Understanding Phototaxis of Halobacterium salinarum: A Systems Biology Approach. Vol. 1. 2011. [DOI] [BIB]
[9]	Hempel, A.: Netzorientierte Fuzzy-Pattern-Klassifikation nichtkonvexer Objektmengenmorphologien. Vol. 9. 2011. [URL] [BIB]
[8]	Streif, S.; Oesterhelt, 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). 2010. [URL] [DOI] [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]
[6]	Streif, S.; Findeisen, R.; Waldherr, S.; Allgöwer, F.: Steady state sensitivity analysis of biochemical reaction networks: a brief review and new methods. Systems Analysis of Biological Networks, pp. 129-148. Boston/London. 2009. [URL] [BIB]
[5]	Ohtsuka, T.; Streif, S.: Commutativity of immersion and linearization. IEEE Transactions on Automatic Control, Vol. 54(4), pp. 826-829. 2009. [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). 2009. [URL] [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. 2009. [URL] [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. 2008. [DOI] [BIB]
[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. 2007. [DOI] [BIB]